From aa20d2bbb29d119fab4d614f2be8270dc91adf02 Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Mon, 17 Mar 2025 15:59:30 -0700 Subject: [PATCH 1/8] Complete tutorial implementation and results processing --- .../tutorial/environment.yaml | 10 - .../tutorial/environment_lock_conda.txt | 30 +- .../tutorial/environment_lock_pip.txt | 77 +- .../onboarding_resources/tutorial/index.ipynb | 9056 ++++++++++++++++- .../tutorial/tutorial.hdf | Bin 0 -> 4927284 bytes 5 files changed, 8995 insertions(+), 178 deletions(-) delete mode 100644 docs/source/onboarding_resources/tutorial/environment.yaml create mode 100644 docs/source/onboarding_resources/tutorial/tutorial.hdf diff --git a/docs/source/onboarding_resources/tutorial/environment.yaml b/docs/source/onboarding_resources/tutorial/environment.yaml deleted file mode 100644 index f04cc17df6..0000000000 --- a/docs/source/onboarding_resources/tutorial/environment.yaml +++ /dev/null @@ -1,10 +0,0 @@ -name: tutorial -channels: - - conda-forge -dependencies: - - python=3.11 - - pip - - pip: - - vivarium[interactive] - - vivarium_public_health - - vivarium_inputs \ No newline at end of file diff --git a/docs/source/onboarding_resources/tutorial/environment_lock_conda.txt b/docs/source/onboarding_resources/tutorial/environment_lock_conda.txt index 2c7f8f4435..26556d877c 100644 --- a/docs/source/onboarding_resources/tutorial/environment_lock_conda.txt +++ b/docs/source/onboarding_resources/tutorial/environment_lock_conda.txt @@ -3,27 +3,27 @@ # platform: linux-64 @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 -https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda -https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda -https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda -https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda +https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2025.1.31-hbcca054_0.conda +https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_4.conda +https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h767d61c_2.conda +https://conda.anaconda.org/conda-forge/noarch/tzdata-2025a-h78e105d_0.conda https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda +https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h767d61c_2.conda https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_1.conda -https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda +https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_0.conda +https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_2.conda +https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.4-hb9d3cd8_0.conda https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda -https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda +https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda +https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.1-h7b32b05_0.conda https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda -https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda +https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.49.1-hee588c1_2.conda https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda -https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda +https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda -https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda -https://conda.anaconda.org/conda-forge/linux-64/python-3.11.11-h9e4cc4f_1_cpython.conda -https://conda.anaconda.org/conda-forge/noarch/setuptools-75.8.0-pyhff2d567_0.conda +https://conda.anaconda.org/conda-forge/linux-64/python-3.11.11-h9e4cc4f_2_cpython.conda +https://conda.anaconda.org/conda-forge/noarch/setuptools-75.8.2-pyhff2d567_0.conda https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda -https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda +https://conda.anaconda.org/conda-forge/noarch/pip-25.0.1-pyh8b19718_0.conda diff --git a/docs/source/onboarding_resources/tutorial/environment_lock_pip.txt b/docs/source/onboarding_resources/tutorial/environment_lock_pip.txt index 0962f28c27..1e5f9f7700 100644 --- a/docs/source/onboarding_resources/tutorial/environment_lock_pip.txt +++ b/docs/source/onboarding_resources/tutorial/environment_lock_pip.txt @@ -1,37 +1,40 @@ -anyio==4.8.0 +ansicolors==1.1.8 +anyio==4.9.0 argon2-cffi==23.1.0 argon2-cffi-bindings==21.2.0 arrow==1.3.0 asttokens==3.0.0 -async-lru==2.0.4 -attrs==24.3.0 -babel==2.16.0 -beautifulsoup4==4.12.3 +async-lru==2.0.5 +attrs==25.3.0 +babel==2.17.0 +beautifulsoup4==4.13.3 bleach==6.2.0 -blosc2==3.0.0 -certifi==2024.12.14 +blosc2==3.2.0 +certifi==2025.1.31 cffi==1.17.1 charset-normalizer==3.4.1 click==8.1.8 comm==0.2.2 -debugpy==1.8.11 -decorator==5.1.1 +debugpy==1.8.13 +decorator==5.2.1 defusedxml==0.7.1 dill==0.3.9 -executing==2.1.0 +entrypoints==0.4 +executing==2.2.0 fastjsonschema==2.21.1 fqdn==1.5.1 -gbd_mapping==4.1.2 +gbd_mapping==4.1.3 h11==0.14.0 httpcore==1.0.7 httpx==0.28.1 idna==3.10 ipykernel==6.29.5 -ipython==8.31.0 +ipython==9.0.2 +ipython_pygments_lexers==1.1.1 ipywidgets==8.1.5 isoduration==20.11.0 jedi==0.19.2 -Jinja2==3.1.5 +Jinja2==3.1.6 joblib==1.4.2 json5==0.10.0 jsonpointer==3.0.0 @@ -39,82 +42,86 @@ jsonschema==4.23.0 jsonschema-specifications==2024.10.1 jupyter==1.1.1 jupyter-console==6.6.3 -jupyter-events==0.11.0 +jupyter-events==0.12.0 jupyter-lsp==2.2.5 jupyter_client==8.6.3 jupyter_core==5.7.2 jupyter_server==2.15.0 jupyter_server_terminals==0.5.3 -jupyterlab==4.3.4 +jupyterlab==4.3.6 jupyterlab_pygments==0.3.0 jupyterlab_server==2.27.3 jupyterlab_widgets==3.0.13 -layered_config_tree==2.2.1 +layered_config_tree==3.0.0 loguru==0.7.3 MarkupSafe==3.0.2 matplotlib-inline==0.1.7 -mistune==3.1.0 +mistune==3.1.2 msgpack==1.1.0 nbclient==0.10.2 -nbconvert==7.16.5 +nbconvert==7.16.6 nbformat==5.10.4 ndindex==1.9.2 nest-asyncio==1.6.0 networkx==3.4.2 networkx-stubs==0.0.1 -notebook==7.3.2 +notebook==7.3.3 notebook_shim==0.2.4 numexpr==2.10.2 numpy==1.26.4 overrides==7.7.0 packaging==24.2 pandas==2.2.3 -pandas-stubs==2.2.3.241126 +pandas-stubs==2.2.3.250308 pandocfilters==1.5.1 +papermill==2.6.0 parso==0.8.4 pexpect==4.9.0 platformdirs==4.3.6 prometheus_client==0.21.1 -prompt_toolkit==3.0.48 -psutil==6.1.1 +prompt_toolkit==3.0.50 +psutil==7.0.0 ptyprocess==0.7.0 pure_eval==0.2.3 py-cpuinfo==9.0.0 -pyarrow==18.1.0 +pyarrow==19.0.1 pycparser==2.22 Pygments==2.19.1 python-dateutil==2.9.0.post0 -python-json-logger==3.2.1 -pytz==2024.2 +python-json-logger==3.3.0 +pytz==2025.1 PyYAML==6.0.2 -pyzmq==26.2.0 -referencing==0.35.1 +pyzmq==26.3.0 +referencing==0.36.2 requests==2.32.3 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 -risk_distributions==2.1.2 -rpds-py==0.22.3 -scipy==1.15.0 +risk_distributions==2.1.3 +rpds-py==0.23.1 +scipy==1.15.2 Send2Trash==1.8.3 six==1.17.0 sniffio==1.3.1 soupsieve==2.6 stack-data==0.6.3 tables==3.10.2 +tenacity==9.0.0 terminado==0.18.1 tinycss2==1.4.0 tornado==6.4.2 +tqdm==4.67.1 traitlets==5.14.3 types-python-dateutil==2.9.0.20241206 -types-pytz==2024.2.0.20241221 +types-pytz==2025.1.0.20250204 types-PyYAML==6.0.12.20241230 typing_extensions==4.12.2 -tzdata==2024.2 +tzdata==2025.1 uri-template==1.3.0 urllib3==2.3.0 -vivarium==3.2.13 -vivarium_inputs==5.2.3 -vivarium_public_health==3.1.4 +uv==0.6.6 +vivarium==3.3.12 +vivarium_inputs==5.2.6 +vivarium_public_health==4.0.0 wcwidth==0.2.13 webcolors==24.11.1 webencodings==0.5.1 diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index 17b1fdaea0..20af57a517 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -2,7 +2,17 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "id": "96c1f48f", + "metadata": { + "papermill": { + "duration": 0.034774, + "end_time": "2025-03-11T21:27:57.124506", + "exception": false, + "start_time": "2025-03-11T21:27:57.089732", + "status": "completed" + }, + "tags": [] + }, "source": [ "# Tutorial: your first simulation\n", "\n", @@ -12,8 +22,17 @@ }, { "cell_type": "raw", + "id": "c99435d4", "metadata": { + "papermill": { + "duration": 0.022725, + "end_time": "2025-03-11T21:27:57.170986", + "exception": false, + "start_time": "2025-03-11T21:27:57.148261", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -26,27 +45,47 @@ "`JupyterLab `_, or other compatible software.\n", "\n", "The code snippets (called \"cells\") are written in `Python `_,\n", - "and basic Python knowledge is required to understand the code.\n", - "\n", - "You can follow along with (and extend!) this tutorial\n", - "by running it in a suitable software environment.\n", - "To create this environment, first `install Miniforge `_,\n", + "and basic Python knowledge is required to understand the code,\n", + "but the text of this page is a good introduction to our methods\n", + "whether or not you read the code.\n", + "\n", + "We highly recommend following along with this tutorial\n", + "by running it on your computer.\n", + "To create a suitable software environment for that,\n", + "first `install Miniforge `_,\n", "which is a minimal installer for the package management tool `Conda `_.\n", "Then, run the following commands in your terminal:\n", "\n", - "* :code:`conda env create -f environment.yaml`\n", + "* :code:`conda create -n tutorial python=3.11`\n", "* :code:`conda activate tutorial`\n", - "* :code:`pip install -r environment_lock_pip.txt` (after downloading :download:`environment_lock_pip.txt`)\n", + "* :code:`pip install uv`\n", + "* :code:`uv pip install -r environment_lock_pip.txt` (after downloading :download:`environment_lock_pip.txt`)\n", "\n", ".. note::\n", "\n", " If you are on 64-bit Linux and run into any issues, you can try replacing the first command with\n", - " :code:`conda create -n tutorial -f environment_lock_conda.txt --force` (after downloading :download:`environment_lock_conda.txt`)\n", + " :code:`conda create -n tutorial -f environment_lock_conda.txt` (after downloading :download:`environment_lock_conda.txt`)\n", " to more closely match the environment in which this tutorial was created.\n", "\n", - "Finally, open this notebook and select your new \"tutorial\" conda environment in Visual Studio Code or JupyterLab,\n", + "..\n", + " Note to future tutorial maintainers!\n", + " If you need to update dependencies, run these commands\n", + " to create the environment from its abstract (not pinned) dependencies:\n", + " conda create -n tutorial python=3.11\n", + " conda activate tutorial\n", + " pip install uv\n", + " uv pip install vivarium[interactive] vivarium_public_health vivarium_inputs papermill\n", + " Then, run these commands in the environment to lock it:\n", + " conda list --explicit > environment_lock_conda.txt\n", + " pip freeze > environment_lock_pip.txt\n", + "\n", + "Finally, open this notebook using your new \"tutorial\" conda environment in Visual Studio Code or JupyterLab,\n", "and you should be ready to get started!\n", "\n", + "**Running the simulation in this notebook will take on the order of 8 hours to run on a laptop.**\n", + "You should plan to follow along until that point, and then run the simulation overnight before\n", + "continuing.\n", + "\n", ".. contents::\n", " :local:\n", " :depth: 3" @@ -54,19 +93,42 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "ce99086a", + "metadata": { + "papermill": { + "duration": 0.022814, + "end_time": "2025-03-11T21:27:57.216023", + "exception": false, + "start_time": "2025-03-11T21:27:57.193209", + "status": "completed" + }, + "tags": [] + }, "source": [ "## (Fictional) Scenario\n", "\n", + "We typically work with a \"client\" -- a stakeholder interested in the results of a potential simulation.\n", + "\n", "Let's pretend we are working with an organization that is considering funding the distribution of\n", "[Small-Quantity Lipid-Based Nutrient Supplements (SQ-LNS)](https://sqlns.ucdavis.edu/) in Ethiopia,\n", "which are food\n", - "supplements designed to prevent malnutrition in children 6-24 months old." + "supplements designed to prevent malnutrition in children 6-24 months old.\n", + "How might we start?" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "d92c3a78", + "metadata": { + "papermill": { + "duration": 0.023256, + "end_time": "2025-03-11T21:27:57.261787", + "exception": false, + "start_time": "2025-03-11T21:27:57.238531", + "status": "completed" + }, + "tags": [] + }, "source": [ "\n", "## Design\n", @@ -108,7 +170,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "1c5f2985", + "metadata": { + "papermill": { + "duration": 0.023791, + "end_time": "2025-03-11T21:27:57.309045", + "exception": false, + "start_time": "2025-03-11T21:27:57.285254", + "status": "completed" + }, + "tags": [] + }, "source": [ "### Making a causal diagram\n", "\n", @@ -130,8 +202,17 @@ }, { "cell_type": "raw", + "id": "5b13a044", "metadata": { + "papermill": { + "duration": 0.023134, + "end_time": "2025-03-11T21:27:57.354555", + "exception": false, + "start_time": "2025-03-11T21:27:57.331421", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -150,7 +231,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "f243bf29", + "metadata": { + "papermill": { + "duration": 0.022681, + "end_time": "2025-03-11T21:27:57.443772", + "exception": false, + "start_time": "2025-03-11T21:27:57.421091", + "status": "completed" + }, + "tags": [] + }, "source": [ "In order to simulate the effect of SQ-LNS without actually running a randomized controlled\n", "trial (RCT) in Ethiopia, we need to add more detail to this diagram.\n", @@ -170,7 +261,8 @@ "\n", "Of course, the FAQ barely scratches the surface. To do our due diligence, we'd likely want to read the referenced papers, and perhaps even do a literature\n", "review of our own.\n", - "One good thing to look out for is any evidence about **negative** effects of our intervention -- in practice there are usually some risks to balance.\n", + "One thing to keep an eye out for is any evidence about **negative** effects of our intervention --\n", + "in practice there are usually some side effects or risks to balance against the benefits.\n", "However, for the sake of this tutorial, we'll just use the information from the FAQ.\n", "\n", "Let's update our causal diagram.\n", @@ -179,15 +271,24 @@ "Though it's not explicitly stated, we can assume all the health issues mentioned in the FAQ\n", "cause some form of disease burden, but we're not sure which can cause death.\n", "The mechanism by which SQ-LNS reduces child mortality is not totally clear from this information --\n", - "it could be as a result of the other benefits listed, or a completely separate benefit.\n", + "it could be purely a result of the other benefits listed, or there might be some additional, separate benefit.\n", "\n", "We'll also weave in our understanding that \"iron-deficiency anemia\" means anemia *caused by* iron deficiency." ] }, { "cell_type": "raw", + "id": "ab0df699", "metadata": { + "papermill": { + "duration": 0.022733, + "end_time": "2025-03-11T21:27:57.489145", + "exception": false, + "start_time": "2025-03-11T21:27:57.466412", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -237,7 +338,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "28d5e531", + "metadata": { + "papermill": { + "duration": 0.022164, + "end_time": "2025-03-11T21:27:57.534104", + "exception": false, + "start_time": "2025-03-11T21:27:57.511940", + "status": "completed" + }, + "tags": [] + }, "source": [ "Now it is time to bring the [**Global Burden of Disease Study (GBD)**](https://www.healthdata.org/research-analysis/gbd) into the picture.\n", "In almost every global health model we make, GBD is the cornerstone data source.\n", @@ -266,7 +377,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "60479645", + "metadata": { + "papermill": { + "duration": 0.022834, + "end_time": "2025-03-11T21:27:57.580276", + "exception": false, + "start_time": "2025-03-11T21:27:57.557442", + "status": "completed" + }, + "tags": [] + }, "source": [ "\n", "GBD has its own (implied) causal diagram, which isn't always the same as what we have in\n", @@ -283,8 +404,17 @@ }, { "cell_type": "raw", + "id": "b28b9b0b", "metadata": { + "papermill": { + "duration": 0.023397, + "end_time": "2025-03-11T21:27:57.627305", + "exception": false, + "start_time": "2025-03-11T21:27:57.603908", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -323,21 +453,40 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "2f2da4d0", + "metadata": { + "papermill": { + "duration": 0.023299, + "end_time": "2025-03-11T21:27:57.674023", + "exception": false, + "start_time": "2025-03-11T21:27:57.650724", + "status": "completed" + }, + "tags": [] + }, "source": [ "In many cases, that is all we need to look at in GBD.\n", "However, GBD nonfatal burden is actually categorized [in a more complicated way](../../model_design/vivarium_model_components/GBD_disease_health/index.rst)\n", "that introduces another layer: _sequelae_,\n", "which are detailed types of impact a cause can have on a person's health.\n", - "For example, \"mild heart failure due to hypertensive heart disease\" is a sequela within \"hypertensive heart disease.\"\n", + "For example, \"mild heart failure due to hypertensive heart disease\" is a sequela caused by \"hypertensive heart disease.\"\n", "Sometimes, we need to think about these, especially when something we model corresponds to a GBD _impairment_,\n", "which is a collection of sequelae across one or more causes." ] }, { "cell_type": "raw", + "id": "28d63b16", "metadata": { + "papermill": { + "duration": 0.022979, + "end_time": "2025-03-11T21:27:57.720569", + "exception": false, + "start_time": "2025-03-11T21:27:57.697590", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -401,14 +550,34 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "e2439811", + "metadata": { + "papermill": { + "duration": 0.023194, + "end_time": "2025-03-11T21:27:57.766357", + "exception": false, + "start_time": "2025-03-11T21:27:57.743163", + "status": "completed" + }, + "tags": [] + }, "source": [ "Lastly, there are always exceptions and places where the GBD causal diagram doesn't work this way. This can take some work to figure out, and usually starts with digging into the GBD methods -- we'll show you how to do this below!" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "923ae1c4", + "metadata": { + "papermill": { + "duration": 0.022375, + "end_time": "2025-03-11T21:27:57.811846", + "exception": false, + "start_time": "2025-03-11T21:27:57.789471", + "status": "completed" + }, + "tags": [] + }, "source": [ "The first step in designing our simulation is to find the GBD entities appropriate for modeling that are most relevant to our working causal diagram for SQ-LNS.\n", "\n", @@ -428,7 +597,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "264b921e", + "metadata": { + "papermill": { + "duration": 0.023293, + "end_time": "2025-03-11T21:27:57.857640", + "exception": false, + "start_time": "2025-03-11T21:27:57.834347", + "status": "completed" + }, + "tags": [] + }, "source": [ "There are several ways to find these entities.\n", "\n", @@ -448,7 +627,17 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "id": "9ac95f1e", + "metadata": { + "papermill": { + "duration": 0.428311, + "end_time": "2025-03-11T21:27:58.309341", + "exception": false, + "start_time": "2025-03-11T21:27:57.881030", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "import gbd_mapping" @@ -457,7 +646,17 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "id": "db52c4f2", + "metadata": { + "papermill": { + "duration": 0.029533, + "end_time": "2025-03-11T21:27:58.367331", + "exception": false, + "start_time": "2025-03-11T21:27:58.337798", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "# This function searches all the most-detailed risk factors\n", @@ -465,16 +664,24 @@ "# for those that contain a search term.\n", "def most_detailed_risk_factors_containing(term: str) -> list[str]:\n", " return [\n", - " r.name\n", - " for r in gbd_mapping.risk_factors\n", - " if term in r.name and r.most_detailed\n", + " r.name for r in gbd_mapping.risk_factors if term in r.name and r.most_detailed\n", " ]" ] }, { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "id": "b2ad816c", + "metadata": { + "papermill": { + "duration": 0.031441, + "end_time": "2025-03-11T21:27:58.421974", + "exception": false, + "start_time": "2025-03-11T21:27:58.390533", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -488,13 +695,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('stunting')" + "most_detailed_risk_factors_containing(\"stunting\")" ] }, { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "id": "2a301077", + "metadata": { + "papermill": { + "duration": 0.029568, + "end_time": "2025-03-11T21:27:58.474864", + "exception": false, + "start_time": "2025-03-11T21:27:58.445296", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -508,13 +725,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('wasting')" + "most_detailed_risk_factors_containing(\"wasting\")" ] }, { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "id": "bfe1f9dd", + "metadata": { + "papermill": { + "duration": 0.03059, + "end_time": "2025-03-11T21:27:58.528420", + "exception": false, + "start_time": "2025-03-11T21:27:58.497830", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -528,13 +755,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('underweight')" + "most_detailed_risk_factors_containing(\"underweight\")" ] }, { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "id": "e2d14e23", + "metadata": { + "papermill": { + "duration": 0.02916, + "end_time": "2025-03-11T21:27:58.581871", + "exception": false, + "start_time": "2025-03-11T21:27:58.552711", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -548,13 +785,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('iron')" + "most_detailed_risk_factors_containing(\"iron\")" ] }, { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "id": "439198ea", + "metadata": { + "papermill": { + "duration": 0.030586, + "end_time": "2025-03-11T21:27:58.635332", + "exception": false, + "start_time": "2025-03-11T21:27:58.604746", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -568,13 +815,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('anem')" + "most_detailed_risk_factors_containing(\"anem\")" ] }, { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "id": "0b24858e", + "metadata": { + "papermill": { + "duration": 0.030425, + "end_time": "2025-03-11T21:27:58.693550", + "exception": false, + "start_time": "2025-03-11T21:27:58.663125", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -588,12 +845,22 @@ } ], "source": [ - "most_detailed_risk_factors_containing('cogn')" + "most_detailed_risk_factors_containing(\"cogn\")" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "23af455a", + "metadata": { + "papermill": { + "duration": 0.02374, + "end_time": "2025-03-11T21:27:58.740683", + "exception": false, + "start_time": "2025-03-11T21:27:58.716943", + "status": "completed" + }, + "tags": [] + }, "source": [ "We see that child stunting, wasting, and underweight are all risk factors, as is iron deficiency. However, we don't see anything for anemia or cognition yet." ] @@ -601,22 +868,38 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "id": "8fe067c1", + "metadata": { + "papermill": { + "duration": 0.029402, + "end_time": "2025-03-11T21:27:58.794636", + "exception": false, + "start_time": "2025-03-11T21:27:58.765234", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "# Analogous function for GBD causes\n", "def most_detailed_causes_containing(term: str) -> list[str]:\n", - " return [\n", - " c.name\n", - " for c in gbd_mapping.causes\n", - " if term in c.name and c.most_detailed\n", - " ]" + " return [c.name for c in gbd_mapping.causes if term in c.name and c.most_detailed]" ] }, { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "id": "7ecf7e5e", + "metadata": { + "papermill": { + "duration": 0.030145, + "end_time": "2025-03-11T21:27:58.847695", + "exception": false, + "start_time": "2025-03-11T21:27:58.817550", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -630,13 +913,23 @@ } ], "source": [ - "most_detailed_causes_containing('anem')" + "most_detailed_causes_containing(\"anem\")" ] }, { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "id": "247a7b9d", + "metadata": { + "papermill": { + "duration": 0.030963, + "end_time": "2025-03-11T21:27:58.902042", + "exception": false, + "start_time": "2025-03-11T21:27:58.871079", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -650,13 +943,23 @@ } ], "source": [ - "most_detailed_causes_containing('iron')" + "most_detailed_causes_containing(\"iron\")" ] }, { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "id": "3c32003a", + "metadata": { + "papermill": { + "duration": 0.03083, + "end_time": "2025-03-11T21:27:58.957014", + "exception": false, + "start_time": "2025-03-11T21:27:58.926184", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -670,13 +973,23 @@ } ], "source": [ - "most_detailed_causes_containing('cogn')" + "most_detailed_causes_containing(\"cogn\")" ] }, { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "id": "509f6b22", + "metadata": { + "papermill": { + "duration": 0.030677, + "end_time": "2025-03-11T21:27:59.011941", + "exception": false, + "start_time": "2025-03-11T21:27:58.981264", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -690,12 +1003,22 @@ } ], "source": [ - "most_detailed_causes_containing('intell')" + "most_detailed_causes_containing(\"intell\")" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "5d550c26", + "metadata": { + "papermill": { + "duration": 0.024639, + "end_time": "2025-03-11T21:27:59.061557", + "exception": false, + "start_time": "2025-03-11T21:27:59.036918", + "status": "completed" + }, + "tags": [] + }, "source": [ "Based on a Google search, we learn that \"hemoglobinopathies\" and \"hemolytic anemias\"\n", "are types of anemia *not* caused by iron deficiency. And idiopathic developmental intellectual disability looks to be a very\n", @@ -710,21 +1033,37 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "id": "7db25358", + "metadata": { + "papermill": { + "duration": 0.029954, + "end_time": "2025-03-11T21:27:59.116203", + "exception": false, + "start_time": "2025-03-11T21:27:59.086249", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "def most_detailed_affected_causes(risk: gbd_mapping.RiskFactor) -> list[str]:\n", - " return [\n", - " c.name\n", - " for c in risk.affected_causes\n", - " if c.most_detailed\n", - " ]" + " return [c.name for c in risk.affected_causes if c.most_detailed]" ] }, { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "id": "ed447d76", + "metadata": { + "papermill": { + "duration": 0.030123, + "end_time": "2025-03-11T21:27:59.171245", + "exception": false, + "start_time": "2025-03-11T21:27:59.141122", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -744,7 +1083,17 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "id": "a027755e", + "metadata": { + "papermill": { + "duration": 0.030945, + "end_time": "2025-03-11T21:27:59.226291", + "exception": false, + "start_time": "2025-03-11T21:27:59.195346", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -768,7 +1117,17 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "id": "2fac1dac", + "metadata": { + "papermill": { + "duration": 0.031022, + "end_time": "2025-03-11T21:27:59.281037", + "exception": false, + "start_time": "2025-03-11T21:27:59.250015", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -792,7 +1151,17 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "id": "02488d9e", + "metadata": { + "papermill": { + "duration": 0.031669, + "end_time": "2025-03-11T21:27:59.337267", + "exception": false, + "start_time": "2025-03-11T21:27:59.305598", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -815,7 +1184,17 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "id": "f234c518", + "metadata": { + "papermill": { + "duration": 0.030518, + "end_time": "2025-03-11T21:27:59.392867", + "exception": false, + "start_time": "2025-03-11T21:27:59.362349", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -830,16 +1209,23 @@ ], "source": [ "# That contains all three!\n", - "[\n", - " c.name\n", - " for c in gbd_mapping.risk_factors.child_growth_failure.sub_risk_factors\n", - "]" + "[c.name for c in gbd_mapping.risk_factors.child_growth_failure.sub_risk_factors]" ] }, { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "id": "2d024de4", + "metadata": { + "papermill": { + "duration": 0.031056, + "end_time": "2025-03-11T21:27:59.449303", + "exception": false, + "start_time": "2025-03-11T21:27:59.418247", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -869,7 +1255,17 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "id": "3185531f", + "metadata": { + "papermill": { + "duration": 0.033282, + "end_time": "2025-03-11T21:27:59.506232", + "exception": false, + "start_time": "2025-03-11T21:27:59.472950", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -891,7 +1287,17 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "id": "205bdf42", + "metadata": { + "papermill": { + "duration": 0.031689, + "end_time": "2025-03-11T21:27:59.562643", + "exception": false, + "start_time": "2025-03-11T21:27:59.530954", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -915,14 +1321,26 @@ ], "source": [ "# Which ones does that contain?\n", - "maternal_disorders_sub_causes = [c.name for c in gbd_mapping.causes.maternal_disorders.sub_causes]\n", + "maternal_disorders_sub_causes = [\n", + " c.name for c in gbd_mapping.causes.maternal_disorders.sub_causes\n", + "]\n", "maternal_disorders_sub_causes" ] }, { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "id": "760df5a5", + "metadata": { + "papermill": { + "duration": 0.032524, + "end_time": "2025-03-11T21:27:59.620268", + "exception": false, + "start_time": "2025-03-11T21:27:59.587744", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -946,15 +1364,34 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "c781ca0b", + "metadata": { + "papermill": { + "duration": 0.025027, + "end_time": "2025-03-11T21:27:59.669984", + "exception": false, + "start_time": "2025-03-11T21:27:59.644957", + "status": "completed" + }, + "tags": [] + }, "source": [ "Now, we use this information to flesh out a GBD causal diagram of relevant entities. We can use the parent risks/causes we found to simplify the diagram, but keep in mind that we will ultimately need to figure out how to model every most-detailed risk and cause!" ] }, { "cell_type": "raw", + "id": "4bd95ca4", "metadata": { + "papermill": { + "duration": 0.024536, + "end_time": "2025-03-11T21:27:59.719441", + "exception": false, + "start_time": "2025-03-11T21:27:59.694905", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1044,7 +1481,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "d3b85f77", + "metadata": { + "papermill": { + "duration": 0.025057, + "end_time": "2025-03-11T21:27:59.770489", + "exception": false, + "start_time": "2025-03-11T21:27:59.745432", + "status": "completed" + }, + "tags": [] + }, "source": [ "Now seems like a good time to dissect what is happening with iron deficiency and anemia,\n", "and in the process learn how to dig into the GBD methods.\n", @@ -1114,7 +1561,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "c83359f5", + "metadata": { + "papermill": { + "duration": 0.02517, + "end_time": "2025-03-11T21:27:59.819996", + "exception": false, + "start_time": "2025-03-11T21:27:59.794826", + "status": "completed" + }, + "tags": [] + }, "source": [ "Now let's merge our GBD causal diagram into our working SQ-LNS causal diagram.\n", "In doing this, we have some opportunities to simplify: because SQ-LNS is\n", @@ -1126,8 +1583,17 @@ }, { "cell_type": "raw", + "id": "e31d13ef", "metadata": { + "papermill": { + "duration": 0.02573, + "end_time": "2025-03-11T21:27:59.870859", + "exception": false, + "start_time": "2025-03-11T21:27:59.845129", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1214,7 +1680,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "3b0044f0", + "metadata": { + "papermill": { + "duration": 0.025129, + "end_time": "2025-03-11T21:27:59.922732", + "exception": false, + "start_time": "2025-03-11T21:27:59.897603", + "status": "completed" + }, + "tags": [] + }, "source": [ "Don't be afraid of making a very complex diagram at this stage!\n", "This is the time to go maximalist before we start editing down to what we will actually model.\n", @@ -1226,7 +1702,17 @@ { "cell_type": "code", "execution_count": 24, - "metadata": {}, + "id": "f2e579a9", + "metadata": { + "papermill": { + "duration": 0.033139, + "end_time": "2025-03-11T21:27:59.981637", + "exception": false, + "start_time": "2025-03-11T21:27:59.948498", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -1240,13 +1726,23 @@ } ], "source": [ - "most_detailed_risk_factors_containing('sanitation')" + "most_detailed_risk_factors_containing(\"sanitation\")" ] }, { "cell_type": "code", "execution_count": 25, - "metadata": {}, + "id": "1f17b11c", + "metadata": { + "papermill": { + "duration": 0.031092, + "end_time": "2025-03-11T21:28:00.038397", + "exception": false, + "start_time": "2025-03-11T21:28:00.007305", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -1265,7 +1761,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "5a551d25", + "metadata": { + "papermill": { + "duration": 0.026405, + "end_time": "2025-03-11T21:28:00.091076", + "exception": false, + "start_time": "2025-03-11T21:28:00.064671", + "status": "completed" + }, + "tags": [] + }, "source": [ "Unsafe sanitation, child growth failure, and iron deficiency are likely all driven by some social determinants\n", "of health, such as poverty (not modeled by GBD)." @@ -1273,8 +1779,17 @@ }, { "cell_type": "raw", + "id": "453c4a3e", "metadata": { + "papermill": { + "duration": 0.025047, + "end_time": "2025-03-11T21:28:00.141750", + "exception": false, + "start_time": "2025-03-11T21:28:00.116703", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1378,7 +1893,17 @@ } }, "cell_type": "markdown", - "metadata": {}, + "id": "88449be9", + "metadata": { + "papermill": { + "duration": 0.025893, + "end_time": "2025-03-11T21:28:00.193632", + "exception": false, + "start_time": "2025-03-11T21:28:00.167739", + "status": "completed" + }, + "tags": [] + }, "source": [ "### Deciding what to model\n", "\n", @@ -1422,8 +1947,17 @@ }, { "cell_type": "raw", + "id": "2e812ceb", "metadata": { + "papermill": { + "duration": 0.025944, + "end_time": "2025-03-11T21:28:00.244808", + "exception": false, + "start_time": "2025-03-11T21:28:00.218864", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1469,7 +2003,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "a83924a8", + "metadata": { + "papermill": { + "duration": 0.025235, + "end_time": "2025-03-11T21:28:00.296165", + "exception": false, + "start_time": "2025-03-11T21:28:00.270930", + "status": "completed" + }, + "tags": [] + }, "source": [ "### Data strategy\n", "\n", @@ -1551,7 +2095,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "9fc6f4f1", + "metadata": { + "papermill": { + "duration": 0.025174, + "end_time": "2025-03-11T21:28:00.347285", + "exception": false, + "start_time": "2025-03-11T21:28:00.322111", + "status": "completed" + }, + "tags": [] + }, "source": [ "### Microsimulation approach\n", "\n", @@ -1569,7 +2123,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "f8f5b712", + "metadata": { + "papermill": { + "duration": 0.026396, + "end_time": "2025-03-11T21:28:00.399059", + "exception": false, + "start_time": "2025-03-11T21:28:00.372663", + "status": "completed" + }, + "tags": [] + }, "source": [ "\n", "#### Demographics/population\n", @@ -1585,24 +2149,48 @@ "\n", "There are several standard ways we model fertility. In this case, because we won't be\n", "simulating the adults who would be giving birth, using age-specific fertility rates doesn't\n", - "make sense. Instead, we'll use a crude birth rate approach which creates new simulants at\n", - "a certain rate, without identifying who specifically they were born to." + "make sense. Instead, we'll use a crude birth rate approach, which creates new simulants at\n", + "a certain rate without identifying who specifically their parents are." ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "6bdb744f", + "metadata": { + "papermill": { + "duration": 0.025069, + "end_time": "2025-03-11T21:28:00.449534", + "exception": false, + "start_time": "2025-03-11T21:28:00.424465", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### Burden\n", "\n", "Burden is typically modeled the same in every simulation we make.\n", - "Death/mortality is modeled as a state machine like this:" + "Death/mortality is modeled as a **state machines** where people move (\"transition\") dynamically\n", + "between states depending on their current state.\n", + "\n", + "Here is a diagram of our standard mortality state machine, where a circle\n", + "is a state a simulant could be in, and an arrow is a transition a simulant could make from\n", + "one state to another:" ] }, { "cell_type": "raw", + "id": "2b00c245", "metadata": { + "papermill": { + "duration": 0.025907, + "end_time": "2025-03-11T21:28:00.499958", + "exception": false, + "start_time": "2025-03-11T21:28:00.474051", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1618,7 +2206,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "c59d2b01", + "metadata": { + "papermill": { + "duration": 0.024864, + "end_time": "2025-03-11T21:28:00.550094", + "exception": false, + "start_time": "2025-03-11T21:28:00.525230", + "status": "completed" + }, + "tags": [] + }, "source": [ "\n", "The transition in this diagram is informed by GBD mortality rates.\n", @@ -1632,31 +2230,48 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "5105e036", + "metadata": { + "papermill": { + "duration": 0.026038, + "end_time": "2025-03-11T21:28:00.602265", + "exception": false, + "start_time": "2025-03-11T21:28:00.576227", + "status": "completed" + }, + "tags": [] + }, "source": [ "\n", "#### Cause\n", "\n", + "We typically model causes as state machines.\n", + "The specifics of the disease in question inform the way we set up the state\n", + "machine.\n", + "\n", "As mentioned in the data strategy section, GBD causes are pretty standard.\n", "They essentially always have two states: infected, and susceptible (not infected).\n", "GBD gives us (some) information on how people move between these states.\n", "\n", - "We typically model causes as **state machines** where people move (\"transition\") dynamically\n", - "between states. The specifics of the disease in question inform the way we set up the state\n", - "machine.\n", - "\n", "Diarrheal diseases are typically of very short duration, so we definitely want to capture\n", "that people can have go in and out of episodes. However, unlike some infectious diseases,\n", "having an episode of diarrheal disease does not make you immune from future episodes.\n", - "This makes diarrheal diseases best represented by this state machine, where a circle\n", - "is a state a simulant could be in, and an arrow is a transition a simulant could make from\n", - "one state to another:" + "This makes diarrheal diseases best represented by this state machine:" ] }, { "cell_type": "raw", + "id": "dd5e4372", "metadata": { + "papermill": { + "duration": 0.024955, + "end_time": "2025-03-11T21:28:00.653220", + "exception": false, + "start_time": "2025-03-11T21:28:00.628265", + "status": "completed" + }, "raw_mimetype": "text/restructuredtext", + "tags": [], "vscode": { "languageId": "raw" } @@ -1672,7 +2287,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "3838a10a", + "metadata": { + "papermill": { + "duration": 0.024627, + "end_time": "2025-03-11T21:28:00.702582", + "exception": false, + "start_time": "2025-03-11T21:28:00.677955", + "status": "completed" + }, + "tags": [] + }, "source": [ "This is called a Susceptible-Infected-Susceptible or \"SIS\" model.\n", "\n", @@ -1732,39 +2357,7684 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "51b99ea4", + "metadata": { + "papermill": { + "duration": 0.02529, + "end_time": "2025-03-11T21:28:00.753998", + "exception": false, + "start_time": "2025-03-11T21:28:00.728708", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Implementation\n", "\n", - "**TODO**" + "Now that we've designed a model, we can implement it using the Vivarium suite.\n", + "\n", + "There are a few major steps to this process:\n", + "\n", + "* Creating the model structure out of **components**\n", + "* Obtaining the **data** we need for our simulation and saving it to a file called the \"data artifact,\" or \"artifact\" for short\n", + "* **Configuring** our model for our desired simulation parameters" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "ea628e31", + "metadata": { + "papermill": { + "duration": 0.025105, + "end_time": "2025-03-11T21:28:00.804806", + "exception": false, + "start_time": "2025-03-11T21:28:00.779701", + "status": "completed" + }, + "tags": [] + }, "source": [ - "## Analyzing results" + "### Components\n", + "\n", + "Vivarium is a *modular* simulation framework: a simulation is made out of\n", + "**components**.\n", + "If we packed everything we wanted to simulate into one component, we could\n", + "never re-use it, and would need to start from scratch with each new simulation.\n", + "By splitting the simulation up into small components that each do one thing,\n", + "we can re-use those components and combine them in new ways without having\n", + "to create any new ones!\n", + "\n", + "In fact, we've created a standard library of components called `vivarium_public_health`\n", + "(sometimes abbreviated \"VPH\") that covers many common health simulation scenarios.\n", + "Often, most of a simulation can be made with these, and only a few new components\n", + "are needed!\n", + "\n", + "For our simulation in this tutorial, we'll use `vivarium_public_health` components\n", + "for population, mortality, crude birth-rate fertility, and our cause and risk." ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 26, + "id": "368a1261", + "metadata": { + "papermill": { + "duration": 16.857927, + "end_time": "2025-03-11T21:28:17.688618", + "exception": false, + "start_time": "2025-03-11T21:28:00.830691", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], "source": [ - "**NOTE:** This is actually iterative. We pretend we \"got everything\n", - "right\" the first time to simplify." + "# Import the relevant sections of the component library\n", + "import vivarium_public_health.population\n", + "import vivarium_public_health.risks\n", + "import vivarium_public_health.disease\n", + "\n", + "components = [\n", + " # Demographics\n", + " vivarium_public_health.population.BasePopulation(),\n", + " vivarium_public_health.population.Mortality(),\n", + " vivarium_public_health.population.FertilityCrudeBirthRate(),\n", + " # Cause\n", + " vivarium_public_health.disease.SIS(\"diarrheal_diseases\"),\n", + " # Risk\n", + " vivarium_public_health.risks.Risk(\"risk_factor.child_wasting\"),\n", + " # The effect of the risk on the cause\n", + " vivarium_public_health.risks.effect.RiskEffect(\n", + " \"risk_factor.child_wasting\",\n", + " \"cause.diarrheal_diseases.incidence_rate\",\n", + " ),\n", + " # TODO: We currently don't have a good way to model risk effects on\n", + " # mortality, even when those are specified by GBD, with standard\n", + " # components.\n", + " # This is something we'd like to add to the tutorial when\n", + " # vivarium_public_health supports it \"out of the box.\"\n", + " # vivarium_public_health.risks.effect.RiskEffect(\n", + " # \"risk_factor.child_wasting\",\n", + " # \"cause.diarrheal_diseases.cause_specific_mortality_rate\",\n", + " # ),\n", + "]" ] }, { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] + "cell_type": "markdown", + "id": "d6412cef", + "metadata": { + "papermill": { + "duration": 0.024769, + "end_time": "2025-03-11T21:28:17.749030", + "exception": false, + "start_time": "2025-03-11T21:28:17.724261", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "These components all *do* things: create newborn simulants, make simulants get sick and recover, or make simulants die, for example.\n", + "We also typically need a type of component called an **observer**, which doesn't do anything but just records what happens.\n", + "This is how, for example, we can record the disease burden our simulants experience.\n", + "There are standard observers in `vivarium_public_health` -- we'll use some that record the fatal and nonfatal burden." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7a44e092", + "metadata": { + "papermill": { + "duration": 0.03182, + "end_time": "2025-03-11T21:28:17.807102", + "exception": false, + "start_time": "2025-03-11T21:28:17.775282", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import vivarium_public_health.results\n", + "\n", + "components += [\n", + " # Observers\n", + " vivarium_public_health.results.DisabilityObserver(),\n", + " vivarium_public_health.results.MortalityObserver(),\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "63fabbdb", + "metadata": { + "papermill": { + "duration": 0.025803, + "end_time": "2025-03-11T21:28:17.858778", + "exception": false, + "start_time": "2025-03-11T21:28:17.832975", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "The last thing that is missing is our intervention. Unfortunately, we can't get this from `vivarium_public_health` -- we need to make this\n", + "component from scratch.\n", + "\n", + "A component is a Python *class* with special methods and properties. We won't get into all the details here,\n", + "but at a high level:\n", + "\n", + "* We want our intervention to change simulants' exposure to child wasting.\n", + "* The `vivarium_public_health.risks.Risk` component we added above will create something called\n", + " a \"value pipeline\" for the child wasting exposure. This value pipeline will be called\n", + " `child_wasting.exposure`.\n", + "* Our intervention component, then, will *modify* the value pipeline.\n", + " We do this by registering a \"value modifier\" function.\n", + "* We want our intervention component to be configurable, so we can change the coverage of SQ-LNS.\n", + " That will allow us to run the simulation once with 0% coverage and once with 100% coverage,\n", + " then compare the results to see the impact of SQ-LNS." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "4c01fc9d", + "metadata": { + "papermill": { + "duration": 0.036096, + "end_time": "2025-03-11T21:28:17.920049", + "exception": false, + "start_time": "2025-03-11T21:28:17.883953", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "import vivarium\n", + "from vivarium import Component\n", + "from vivarium.framework.engine import Builder\n", + "\n", + "\n", + "class SQLNS(Component):\n", + " columns_created = [\"covered_by_sqlns\", \"would_benefit_from_sqlns\"]\n", + "\n", + " # This special method, setup, runs once when the simulation is being set up,\n", + " # before any time has passed in the simulation.\n", + " def setup(self, builder: Builder) -> None:\n", + " # Get the desired coverage level from the configuration.\n", + " self.coverage = builder.configuration[\"sqlns\"][\"coverage\"]\n", + " # Create a random number generator for this component.\n", + " self.randomness = builder.randomness.get_stream(\"sqlns\")\n", + " builder.value.register_value_modifier(\n", + " \"child_wasting.exposure\",\n", + " modifier=self.intervention_effect,\n", + " requires_columns=[\n", + " \"covered_by_sqlns\",\n", + " \"would_benefit_from_sqlns\",\n", + " ],\n", + " )\n", + "\n", + " def on_initialize_simulants(\n", + " self, pop_data: vivarium.framework.population.SimulantData\n", + " ) -> None:\n", + " # pop_data is information about the simulants being initialized.\n", + " # We use it to create new columns in the population data frame.\n", + " covered_by_sqlns = pd.Series(\n", + " # get_draw draws a random number from the uniform distribution between 0 and 1\n", + " # for each simulant.\n", + " self.randomness.get_draw(\n", + " pop_data.index,\n", + " # NOTE: It is important that we provide additional keys here, as otherwise\n", + " # our two calls to get_draw will return the same results!\n", + " additional_key=\"covered_by_sqlns\",\n", + " )\n", + " <= self.coverage,\n", + " name=\"covered_by_sqlns\",\n", + " )\n", + " would_benefit_from_sqlns = pd.Series(\n", + " # 13% of those who receive SQLNS and are wasted benefit from it,\n", + " # in that they become no longer wasted, so we label 13% of the population as\n", + " # potentially benefiting from it.\n", + " # Of course, only these people who also are wasted and receive SQLNS\n", + " # will actually have the benefit.\n", + " self.randomness.get_draw(\n", + " pop_data.index,\n", + " additional_key=\"would_benefit_from_sqlns\",\n", + " )\n", + " <= 0.13,\n", + " name=\"would_benefit_from_sqlns\",\n", + " )\n", + " self.population_view.update(\n", + " covered_by_sqlns.to_frame().join(would_benefit_from_sqlns)\n", + " )\n", + "\n", + " def intervention_effect(\n", + " self, index: pd.Index, child_wasting: pd.Series\n", + " ) -> pd.Series:\n", + " # Here, 'index' is the index of the data frame that is being modified.\n", + " # 'child_wasting' is a series containing the child wasting values before modification.\n", + "\n", + " # First, we map child wasting to more readable categories.\n", + " category_mapping = gbd_mapping.risk_factors.child_wasting.categories.to_dict()\n", + " assert (child_wasting.isin(category_mapping.keys()) | child_wasting.isnull()).all()\n", + " child_wasting = child_wasting.map(category_mapping)\n", + "\n", + " pop = self.population_view.get(index)\n", + "\n", + " baseline_wasting_moderate_severe = child_wasting[index].isin(\n", + " [\n", + " \"Wasting Between -3 SD and -2 SD (post-ensemble)\",\n", + " \"Severe Wasting, < -3 SD (post-ensemble)\",\n", + " ]\n", + " )\n", + " # Change those who benefit and are moderately or severely wasted to the mild category.\n", + " child_wasting.loc[\n", + " index[\n", + " baseline_wasting_moderate_severe\n", + " & pop.covered_by_sqlns\n", + " & pop.would_benefit_from_sqlns\n", + " ]\n", + " ] = \"Wasting Between -2 SD and -1 SD (post-ensemble)\"\n", + "\n", + " # Map back to the original, less readable categories.\n", + " return child_wasting.map({v: k for k, v in category_mapping.items()})" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "16d430c3", + "metadata": { + "papermill": { + "duration": 0.030219, + "end_time": "2025-03-11T21:28:17.975978", + "exception": false, + "start_time": "2025-03-11T21:28:17.945759", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "components += [\n", + " SQLNS(),\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "dd63b513", + "metadata": { + "papermill": { + "duration": 0.025273, + "end_time": "2025-03-11T21:28:18.027830", + "exception": false, + "start_time": "2025-03-11T21:28:18.002557", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "### Data\n", + "\n", + "Now we load the data we'll need for our simulation. The end result of this section will be a file\n", + "called the **data artifact** that packages up all this data.\n", + "\n", + "Unfortunately, the draw-level GBD estimates we will use for this model can only be accessed via databases internal\n", + "to IHME; the code in this section will only run on IHME's computing cluster.\n", + "\n", + "If you don't have access to IHME's computing cluster, you can read (but not run) this section,\n", + "and then download the resulting data artifact before proceeding with the next section.\n", + "Instructions to do this can be found at the bottom of this section.\n", + "\n", + "The first step is to install an additional package, available within IHME, which allows access to GBD estimates\n", + "from the database:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "e9283eac", + "metadata": { + "papermill": { + "duration": 0.338356, + "end_time": "2025-03-11T21:28:18.390952", + "exception": false, + "start_time": "2025-03-11T21:28:18.052596", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "# The quiet flag prevents this from printing out tons of information\n", + "# about the installation.\n", + "%uv pip install vivarium_gbd_access --extra-index-url https://artifactory.ihme.washington.edu/artifactory/api/pypi/pypi-shared/simple --quiet" + ] + }, + { + "cell_type": "markdown", + "id": "607a51b9", + "metadata": { + "papermill": { + "duration": 0.02456, + "end_time": "2025-03-11T21:28:18.447112", + "exception": false, + "start_time": "2025-03-11T21:28:18.422552", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Now we make some changes to reduce the the debugging output of the Vivarium suite.\n", + "It isn't important to understand this code in detail." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "cd0d9ac5", + "metadata": { + "papermill": { + "duration": 0.032024, + "end_time": "2025-03-11T21:28:18.504041", + "exception": false, + "start_time": "2025-03-11T21:28:18.472017", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import warnings\n", + "\n", + "warnings.simplefilter(action=\"ignore\", category=pd.errors.PerformanceWarning)\n", + "warnings.simplefilter(action=\"ignore\", category=FutureWarning)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "4e4b1e49", + "metadata": { + "papermill": { + "duration": 0.038296, + "end_time": "2025-03-11T21:28:18.568214", + "exception": false, + "start_time": "2025-03-11T21:28:18.529918", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import sys\n", + "from loguru import logger as log\n", + "\n", + "log.remove()\n", + "log.add(sys.stderr, level=\"ERROR\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "0da90128", + "metadata": { + "papermill": { + "duration": 0.031053, + "end_time": "2025-03-11T21:28:18.626208", + "exception": false, + "start_time": "2025-03-11T21:28:18.595155", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "pd.options.display.max_rows = 12" + ] + }, + { + "cell_type": "markdown", + "id": "b14a168a", + "metadata": { + "papermill": { + "duration": 0.025214, + "end_time": "2025-03-11T21:28:18.676445", + "exception": false, + "start_time": "2025-03-11T21:28:18.651231", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Let's start creating our artifact!\n", + "\n", + "First, we'll define variables for our entities of interest, so we don't need to\n", + "always refer to them by their full names." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "ce40d86b", + "metadata": { + "papermill": { + "duration": 0.031281, + "end_time": "2025-03-11T21:28:18.734142", + "exception": false, + "start_time": "2025-03-11T21:28:18.702861", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "risk = gbd_mapping.risk_factors.child_wasting\n", + "cause = gbd_mapping.causes.diarrheal_diseases\n", + "location = \"Ethiopia\"" + ] + }, + { + "cell_type": "markdown", + "id": "2ac47b86", + "metadata": { + "papermill": { + "duration": 0.025602, + "end_time": "2025-03-11T21:28:18.785807", + "exception": false, + "start_time": "2025-03-11T21:28:18.760205", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Now we import `vivarium_inputs`, which we use to load most GBD data.\n", + "`vivarium_inputs` is documented [here](https://vivarium.readthedocs.io/projects/vivarium-inputs/en/latest/api_reference/interface.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "feb782ee", + "metadata": { + "papermill": { + "duration": 8.05608, + "end_time": "2025-03-11T21:28:26.868206", + "exception": false, + "start_time": "2025-03-11T21:28:18.812126", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import vivarium_inputs" + ] + }, + { + "cell_type": "markdown", + "id": "f172813d", + "metadata": { + "papermill": { + "duration": 0.025771, + "end_time": "2025-03-11T21:28:26.918832", + "exception": false, + "start_time": "2025-03-11T21:28:26.893061", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "A data artifact is a Hierarchical Data Format (HDF) file,\n", + "with the `.hdf` file extension.\n", + "A single HDF file can store many datasets, which is how we can use just one file\n", + "for all the input data we need for our simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "cf375965", + "metadata": { + "papermill": { + "duration": 0.21558, + "end_time": "2025-03-11T21:28:27.160582", + "exception": false, + "start_time": "2025-03-11T21:28:26.945002", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/mnt/share/homes/zmbc/mambaforge/envs/tutorial_9/lib/python3.11/site-packages/vivarium/framework/artifact/artifact.py:69: UserWarning: No artifact found at tutorial.hdf. Building new artifact.\n", + " warnings.warn(f\"No artifact found at {path}. Building new artifact.\")\n" + ] + } + ], + "source": [ + "# Delete the artifact if it already exists\n", + "! rm -rf tutorial.hdf\n", + "# Then create a new artifact\n", + "art = vivarium.Artifact(\"tutorial.hdf\")" + ] + }, + { + "cell_type": "markdown", + "id": "915c06cc", + "metadata": { + "papermill": { + "duration": 0.029093, + "end_time": "2025-03-11T21:28:27.218267", + "exception": false, + "start_time": "2025-03-11T21:28:27.189174", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "The data we need in our artifact entirely depends on what our components need.\n", + "Unfortunately, we don't currently have documentation about what data need to be in the artifact to use particular components\n", + "from our `vivarium_public_health` library.\n", + "\n", + "One approach, which works but can be time-consuming, is to simply try running the simulation\n", + "and read the error message, which will usually be about a component trying to read a specific key from\n", + "the artifact.\n", + "Then you can work out how to add that key to the artifact.\n", + "\n", + "Here, we'll pretend we already have memorized what data keys are needed for each component,\n", + "in order to avoid the slower process of trial and error." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4374dbb1", + "metadata": { + "papermill": { + "duration": 0.03181, + "end_time": "2025-03-11T21:28:27.276556", + "exception": false, + "start_time": "2025-03-11T21:28:27.244746", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# NOTE: vivarium_public_health requires the location to be stripped from\n", + "# many of the dataframes\n", + "def strip_location(df: pd.DataFrame) -> pd.DataFrame:\n", + " return df.loc[location]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "a63c3fdb", + "metadata": { + "papermill": { + "duration": 1.539181, + "end_time": "2025-03-11T21:28:28.840940", + "exception": false, + "start_time": "2025-03-11T21:28:27.301759", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Data keys needed by the BasePopulation component\n", + "art.write(\"population.location\", location)\n", + "art.write(\"population.structure\", vivarium_inputs.get_population_structure(location))\n", + "art.write(\n", + " \"population.demographic_dimensions\",\n", + " vivarium_inputs.get_demographic_dimensions(location),\n", + ")\n", + "art.write(\n", + " \"population.theoretical_minimum_risk_life_expectancy\",\n", + " vivarium_inputs.get_theoretical_minimum_risk_life_expectancy(),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "61b2c582", + "metadata": { + "papermill": { + "duration": 0.46678, + "end_time": "2025-03-11T21:28:29.334075", + "exception": false, + "start_time": "2025-03-11T21:28:28.867295", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Key needed by the Mortality component\n", + "all_cause_mortality_rate = vivarium_inputs.get_measure(\n", + " gbd_mapping.causes.all_causes, \"cause_specific_mortality_rate\", location\n", + ")\n", + "art.write(\n", + " \"cause.all_causes.cause_specific_mortality_rate\",\n", + " strip_location(all_cause_mortality_rate),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "97f095c2", + "metadata": { + "papermill": { + "duration": 0.254098, + "end_time": "2025-03-11T21:28:29.615870", + "exception": false, + "start_time": "2025-03-11T21:28:29.361772", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Key needed by the FertilityCrudeBirthRate component\n", + "live_births_by_sex = vivarium_inputs.get_measure(\n", + " gbd_mapping.covariates.live_births_by_sex, \"estimate\", location\n", + ")\n", + "art.write(\n", + " \"covariate.live_births_by_sex.estimate\",\n", + " strip_location(live_births_by_sex),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "d2247ecd", + "metadata": { + "papermill": { + "duration": 3.568119, + "end_time": "2025-03-11T21:28:33.212982", + "exception": false, + "start_time": "2025-03-11T21:28:29.644863", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Keys needed by the Cause component\n", + "for measure in [\n", + " \"remission_rate\",\n", + " \"incidence_rate\",\n", + " \"cause_specific_mortality_rate\",\n", + " \"prevalence\",\n", + " \"disability_weight\",\n", + " \"excess_mortality_rate\",\n", + "]:\n", + " data = vivarium_inputs.get_measure(cause, measure, location)\n", + " art.write(f\"cause.{cause.name}.{measure}\", strip_location(data))\n", + "\n", + "art.write(f\"cause.{cause.name}.restrictions\", cause.restrictions.to_dict())" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "5d1a73c9", + "metadata": { + "papermill": { + "duration": 51.358688, + "end_time": "2025-03-11T21:29:24.604318", + "exception": false, + "start_time": "2025-03-11T21:28:33.245630", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "# Keys needed by the Risk and RiskEffect components\n", + "for measure in [\n", + " \"exposure\",\n", + " \"relative_risk\",\n", + " \"population_attributable_fraction\",\n", + "]:\n", + " data = vivarium_inputs.get_measure(risk, measure, location)\n", + " art.write(f\"risk_factor.{risk.name}.{measure}\", strip_location(data))\n", + "\n", + "art.write(f\"risk_factor.{risk.name}.distribution\", risk.distribution)" + ] + }, + { + "cell_type": "markdown", + "id": "36ed38ef", + "metadata": { + "papermill": { + "duration": 0.025948, + "end_time": "2025-03-11T21:29:24.661960", + "exception": false, + "start_time": "2025-03-11T21:29:24.636012", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Since we wrote the SQLNS component, we know that it doesn't load any data from the artifact, so we are all done!" + ] + }, + { + "cell_type": "raw", + "id": "805e375d", + "metadata": { + "papermill": { + "duration": 0.025832, + "end_time": "2025-03-11T21:29:24.713545", + "exception": false, + "start_time": "2025-03-11T21:29:24.687713", + "status": "completed" + }, + "raw_mimetype": "text/restructuredtext", + "tags": [], + "vscode": { + "languageId": "raw" + } + }, + "source": [ + "If you weren't able to run this section because you aren't on the IHME compute cluster,\n", + "download the resulting HDF file here:\n", + ":download:`tutorial.hdf`" + ] + }, + { + "cell_type": "markdown", + "id": "e15d87ae", + "metadata": { + "papermill": { + "duration": 0.025944, + "end_time": "2025-03-11T21:29:24.765979", + "exception": false, + "start_time": "2025-03-11T21:29:24.740035", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "#### Configuration" + ] + }, + { + "cell_type": "markdown", + "id": "8ebffa16", + "metadata": { + "papermill": { + "duration": 0.025756, + "end_time": "2025-03-11T21:29:24.817370", + "exception": false, + "start_time": "2025-03-11T21:29:24.791614", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Now we'll set up our configuration,\n", + "which is a nested dictionary of settings to use for the simulation.\n", + "We'll build this up piece by piece." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "e575bcd4", + "metadata": { + "papermill": { + "duration": 0.031184, + "end_time": "2025-03-11T21:29:24.874954", + "exception": false, + "start_time": "2025-03-11T21:29:24.843770", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "configuration = {}" + ] + }, + { + "cell_type": "markdown", + "id": "b356b6dc", + "metadata": { + "papermill": { + "duration": 0.025405, + "end_time": "2025-03-11T21:29:24.926275", + "exception": false, + "start_time": "2025-03-11T21:29:24.900870", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Let's point our simulation to our data artifact, so it pulls data from there.\n", + "\n", + "We also specify a **draw number**.\n", + "Most GBD outputs are available as \"draws,\"\n", + "which is a shorthand way of saying \"random samples **draw**n from a probability distribution.\"\n", + "Rather than a single number for each quantity,\n", + "there are many numbers, which are all plausible.\n", + "Draws allow us to represent the uncertainty in our results due to\n", + "uncertainty about the GBD estimates.\n", + "(See the [Monte Carlo Uncertainty](../../model_design/vivarium_overview/uncertainty_in_vivarium/index.rst) page for more on this.)\n", + "\n", + "We typically run our simulation with many different draws and see how our results differ, but this is computationally\n", + "intensive.\n", + "In this tutorial, we will stick to draw 0." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "9e9a556a", + "metadata": { + "papermill": { + "duration": 0.030987, + "end_time": "2025-03-11T21:29:24.983618", + "exception": false, + "start_time": "2025-03-11T21:29:24.952631", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "configuration[\"input_data\"] = {\n", + " \"artifact_path\": \"tutorial.hdf\",\n", + " \"input_draw_number\": 0,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "1851870e", + "metadata": { + "papermill": { + "duration": 0.025863, + "end_time": "2025-03-11T21:29:25.035472", + "exception": false, + "start_time": "2025-03-11T21:29:25.009609", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Next we'll configure settings having to do with **time**.\n", + "We tell Vivarium we want to start our simulation at the beginning\n", + "of 2025, and end at the end of 2030.\n", + "\n", + "We also specify a **timestep**. Time won't pass continuously in our\n", + "simulation, it will pass in discrete chunks. Generally, smaller chunks\n", + "are better/more accurate, but the smaller our steps are, the longer\n", + "our simulation will take to run.\n", + "We generally set our timestep to be as long as we can, without\n", + "introducing substantial inaccuracy; how much we can get away with\n", + "depends on what we are modeling.\n", + "We explain much more about this on the [\"Choosing an Appropriate Time Step\" page](../../model_design/designing_vivarium_model/choosing_appropriate_time_step/index.rst).\n", + "Here, our timestep will be 1 week." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "0bac272c", + "metadata": { + "papermill": { + "duration": 0.031964, + "end_time": "2025-03-11T21:29:25.093588", + "exception": false, + "start_time": "2025-03-11T21:29:25.061624", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "configuration[\"time\"] = {\n", + " # step_size is the timestep in days\n", + " \"step_size\": 7,\n", + " \"start\": {\n", + " \"year\": 2025,\n", + " \"month\": 1,\n", + " \"day\": 1,\n", + " },\n", + " \"end\": {\n", + " \"year\": 2030,\n", + " \"month\": 12,\n", + " \"day\": 31,\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "53ac3567", + "metadata": { + "papermill": { + "duration": 0.026805, + "end_time": "2025-03-11T21:29:25.146955", + "exception": false, + "start_time": "2025-03-11T21:29:25.120150", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We also have to tell Vivarium about the **population** of simulants we want.\n", + "\n", + "There are settings about both the population to **initialize** (create at simulation\n", + "start) and **track** (observe during the simulation).\n", + "As discussed above, we'll initialize simulants between ages 0 and 2, and we'll stop\n", + "tracking simulants after they turn 2, since they will no longer be receiving any intervention\n", + "benefit at that point.\n", + "\n", + "How many simulants should we simulate? This doesn't have to correspond to the\n", + "real population size (the number of children actually in Ethiopia).\n", + "Generally, more simulants is better because it makes\n", + "our results less influenced by randomness (since we have a bigger \"sample size\").\n", + "For this tutorial, we'll use half a million simulants, which is small enough to run in a reasonable\n", + "amount of time, but large enough that we will get decently stable results.\n", + "This tradeoff is simulation-specific and the decision is often made through experimentation." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "c682f477", + "metadata": { + "papermill": { + "duration": 0.032728, + "end_time": "2025-03-11T21:29:25.206800", + "exception": false, + "start_time": "2025-03-11T21:29:25.174072", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "configuration[\"population\"] = {\n", + " \"initialization_age_min\": 0,\n", + " \"initialization_age_max\": 2,\n", + " \"population_size\": 500_000,\n", + " # HACK: Need all of these for now,\n", + " # pending some bugfixes in Vivarium.\n", + " # They all do the same thing.\n", + " \"untracking_age\": 2,\n", + " \"age_end\": 2,\n", + " \"exit_age\": 2,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "184553c8", + "metadata": { + "papermill": { + "duration": 0.026448, + "end_time": "2025-03-11T21:29:25.313773", + "exception": false, + "start_time": "2025-03-11T21:29:25.287325", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Now, we can finally set up our simulations. Why simulation**s**?\n", + "Because we need one where there is SQ-LNS, and one where there isn't!\n", + "We call these situations to compare **scenarios**." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "ea703053", + "metadata": { + "papermill": { + "duration": 8.22677, + "end_time": "2025-03-11T21:29:33.567168", + "exception": false, + "start_time": "2025-03-11T21:29:25.340398", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import copy\n", + "\n", + "sim_baseline = vivarium.InteractiveContext(\n", + " components=copy.deepcopy(components),\n", + " configuration={\n", + " \"sqlns\": {\n", + " \"coverage\": 0,\n", + " },\n", + " **configuration,\n", + " },\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "4937118b", + "metadata": { + "papermill": { + "duration": 8.142269, + "end_time": "2025-03-11T21:29:41.735902", + "exception": false, + "start_time": "2025-03-11T21:29:33.593633", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "sim_intervention = vivarium.InteractiveContext(\n", + " components=copy.deepcopy(components),\n", + " configuration={\n", + " \"sqlns\": {\n", + " \"coverage\": 1, # 100% coverage\n", + " },\n", + " **configuration,\n", + " },\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f86488ef", + "metadata": { + "papermill": { + "duration": 0.027891, + "end_time": "2025-03-11T21:29:41.792525", + "exception": false, + "start_time": "2025-03-11T21:29:41.764634", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "### Verification and validation with an interactive simulation\n", + "\n", + "Our simulations are now set up, but no time has passed yet." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "ad455c4c", + "metadata": { + "papermill": { + "duration": 0.034575, + "end_time": "2025-03-11T21:29:41.854622", + "exception": false, + "start_time": "2025-03-11T21:29:41.820047", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2025-01-01 00:00:00')" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_baseline.current_time" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "66d3f31e", + "metadata": { + "papermill": { + "duration": 0.035228, + "end_time": "2025-03-11T21:29:41.922858", + "exception": false, + "start_time": "2025-03-11T21:29:41.887630", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2025-01-01 00:00:00')" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_intervention.current_time" + ] + }, + { + "cell_type": "markdown", + "id": "34821fba", + "metadata": { + "papermill": { + "duration": 0.028561, + "end_time": "2025-03-11T21:29:41.980305", + "exception": false, + "start_time": "2025-03-11T21:29:41.951744", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Before we start moving forward in time, let's take a look at our simulants.\n", + "\n", + "We can get most of the information about them with the `get_population` method." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "2b97f2c8", + "metadata": { + "papermill": { + "duration": 0.249199, + "end_time": "2025-03-11T21:29:42.257536", + "exception": false, + "start_time": "2025-03-11T21:29:42.008337", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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trackedentrance_timealivesexageexit_timelocationcause_of_deathyears_of_life_lostcovered_by_sqlnswould_benefit_from_sqlnschild_wasting_propensitydiarrheal_diseasessusceptible_to_diarrheal_diseases_event_countsusceptible_to_diarrheal_diseases_event_timediarrheal_diseases_event_timediarrheal_diseases_event_count
0True2024-12-25aliveFemale0.449100NaTEthiopianot_dead0.0FalseFalse0.597575susceptible_to_diarrheal_diseases0NaTNaT0
1True2024-12-25aliveMale0.298315NaTEthiopianot_dead0.0FalseFalse0.001056susceptible_to_diarrheal_diseases0NaTNaT0
2True2024-12-25aliveFemale0.041546NaTEthiopianot_dead0.0FalseTrue0.141781susceptible_to_diarrheal_diseases0NaTNaT0
3True2024-12-25aliveMale0.655818NaTEthiopianot_dead0.0FalseFalse0.601542susceptible_to_diarrheal_diseases0NaTNaT0
4True2024-12-25aliveFemale0.563762NaTEthiopianot_dead0.0FalseFalse0.118297susceptible_to_diarrheal_diseases0NaTNaT0
......................................................
499995True2024-12-25aliveFemale0.407435NaTEthiopianot_dead0.0FalseFalse0.353570susceptible_to_diarrheal_diseases0NaTNaT0
499996True2024-12-25aliveFemale1.790844NaTEthiopianot_dead0.0FalseFalse0.694210susceptible_to_diarrheal_diseases0NaTNaT0
499997True2024-12-25aliveMale0.825693NaTEthiopianot_dead0.0FalseFalse0.512939susceptible_to_diarrheal_diseases0NaTNaT0
499998True2024-12-25aliveFemale0.137701NaTEthiopianot_dead0.0FalseFalse0.292610susceptible_to_diarrheal_diseases0NaTNaT0
499999True2024-12-25aliveFemale0.538179NaTEthiopianot_dead0.0FalseFalse0.810374susceptible_to_diarrheal_diseases0NaTNaT0
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500000 rows × 17 columns

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" + ], + "text/plain": [ + " tracked entrance_time alive sex age exit_time location \\\n", + "0 True 2024-12-25 alive Female 0.449100 NaT Ethiopia \n", + "1 True 2024-12-25 alive Male 0.298315 NaT Ethiopia \n", + "2 True 2024-12-25 alive Female 0.041546 NaT Ethiopia \n", + "3 True 2024-12-25 alive Male 0.655818 NaT Ethiopia \n", + "4 True 2024-12-25 alive Female 0.563762 NaT Ethiopia \n", + "... ... ... ... ... ... ... ... \n", + "499995 True 2024-12-25 alive Female 0.407435 NaT Ethiopia \n", + "499996 True 2024-12-25 alive Female 1.790844 NaT Ethiopia \n", + "499997 True 2024-12-25 alive Male 0.825693 NaT Ethiopia \n", + "499998 True 2024-12-25 alive Female 0.137701 NaT Ethiopia \n", + "499999 True 2024-12-25 alive Female 0.538179 NaT Ethiopia \n", + "\n", + " cause_of_death years_of_life_lost covered_by_sqlns \\\n", + "0 not_dead 0.0 False \n", + "1 not_dead 0.0 False \n", + "2 not_dead 0.0 False \n", + "3 not_dead 0.0 False \n", + "4 not_dead 0.0 False \n", + "... ... ... ... \n", + "499995 not_dead 0.0 False \n", + "499996 not_dead 0.0 False \n", + "499997 not_dead 0.0 False \n", + "499998 not_dead 0.0 False \n", + "499999 not_dead 0.0 False \n", + "\n", + " would_benefit_from_sqlns child_wasting_propensity \\\n", + "0 False 0.597575 \n", + "1 False 0.001056 \n", + "2 True 0.141781 \n", + "3 False 0.601542 \n", + "4 False 0.118297 \n", + "... ... ... \n", + "499995 False 0.353570 \n", + "499996 False 0.694210 \n", + "499997 False 0.512939 \n", + "499998 False 0.292610 \n", + "499999 False 0.810374 \n", + "\n", + " diarrheal_diseases \\\n", + "0 susceptible_to_diarrheal_diseases \n", + "1 susceptible_to_diarrheal_diseases \n", + "2 susceptible_to_diarrheal_diseases \n", + "3 susceptible_to_diarrheal_diseases \n", + "4 susceptible_to_diarrheal_diseases \n", + "... ... \n", + "499995 susceptible_to_diarrheal_diseases \n", + "499996 susceptible_to_diarrheal_diseases \n", + "499997 susceptible_to_diarrheal_diseases \n", + "499998 susceptible_to_diarrheal_diseases \n", + "499999 susceptible_to_diarrheal_diseases \n", + "\n", + " susceptible_to_diarrheal_diseases_event_count \\\n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "... ... \n", + "499995 0 \n", + "499996 0 \n", + "499997 0 \n", + "499998 0 \n", + "499999 0 \n", + "\n", + " susceptible_to_diarrheal_diseases_event_time \\\n", + "0 NaT \n", + "1 NaT \n", + "2 NaT \n", + "3 NaT \n", + "4 NaT \n", + "... ... \n", + "499995 NaT \n", + "499996 NaT \n", + "499997 NaT \n", + "499998 NaT \n", + "499999 NaT \n", + "\n", + " diarrheal_diseases_event_time diarrheal_diseases_event_count \n", + "0 NaT 0 \n", + "1 NaT 0 \n", + "2 NaT 0 \n", + "3 NaT 0 \n", + "4 NaT 0 \n", + "... ... ... \n", + "499995 NaT 0 \n", + "499996 NaT 0 \n", + "499997 NaT 0 \n", + "499998 NaT 0 \n", + "499999 NaT 0 \n", + "\n", + "[500000 rows x 17 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_baseline.get_population()" + ] + }, + { + "cell_type": "markdown", + "id": "b9b693f7", + "metadata": { + "papermill": { + "duration": 0.028479, + "end_time": "2025-03-11T21:29:42.314052", + "exception": false, + "start_time": "2025-03-11T21:29:42.285573", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "This is probably quite overwhelming and shows the complexity hidden within our standard library components. They are tracking a lot!\n", + "\n", + "However, there is still more -- you may notice that child wasting doesn't appear as a column.\n", + "As mentioned above, this is a value pipeline, which isn't included in the population table.\n", + "\n", + "The `list_values` method shows us all the value pipelines available -- again, there are a lot,\n", + "all created by the standard components we included above!" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "5690f2db", + "metadata": { + "papermill": { + "duration": 0.034791, + "end_time": "2025-03-11T21:29:42.377862", + "exception": false, + "start_time": "2025-03-11T21:29:42.343071", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['simulant_step_size',\n", + " 'cause_specific_mortality_rate',\n", + " 'affected_unmodeled.cause_specific_mortality_rate',\n", + " 'affected_unmodeled.cause_specific_mortality_rate.paf',\n", + " 'mortality_rate',\n", + " 'diarrheal_diseases.incidence_rate',\n", + " 'diarrheal_diseases.incidence_rate.paf',\n", + " 'diarrheal_diseases.dwell_time',\n", + " 'diarrheal_diseases.disability_weight',\n", + " 'all_causes.disability_weight',\n", + " 'diarrheal_diseases.excess_mortality_rate',\n", + " 'diarrheal_diseases.excess_mortality_rate.paf',\n", + " 'diarrheal_diseases.remission_rate',\n", + " 'diarrheal_diseases.remission_rate.paf',\n", + " 'risk_factor.child_wasting.exposure_parameters',\n", + " 'child_wasting.propensity',\n", + " 'child_wasting.exposure',\n", + " 'child_wasting_on_diarrheal_diseases.relative_risk']" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_baseline.list_values()" + ] + }, + { + "cell_type": "markdown", + "id": "5612b271", + "metadata": { + "papermill": { + "duration": 0.028095, + "end_time": "2025-03-11T21:29:42.433553", + "exception": false, + "start_time": "2025-03-11T21:29:42.405458", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We see `child_wasting.exposure` there, and we can get it with `get_value`:" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "ed8bcba7", + "metadata": { + "papermill": { + "duration": 0.035741, + "end_time": "2025-03-11T21:29:42.498758", + "exception": false, + "start_time": "2025-03-11T21:29:42.463017", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "_Pipeline(child_wasting.exposure)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_baseline.get_value(\"child_wasting.exposure\")" + ] + }, + { + "cell_type": "markdown", + "id": "68fbe71c", + "metadata": { + "papermill": { + "duration": 0.028477, + "end_time": "2025-03-11T21:29:42.555886", + "exception": false, + "start_time": "2025-03-11T21:29:42.527409", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We get a pipeline object back. A pipeline object can be called like a function,\n", + "passing a Pandas\n", + "*index* of simulants to get information about." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "06eda554", + "metadata": { + "papermill": { + "duration": 1.504901, + "end_time": "2025-03-11T21:29:44.089486", + "exception": false, + "start_time": "2025-03-11T21:29:42.584585", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 cat4\n", + "1 cat1\n", + "2 cat4\n", + "3 cat4\n", + "4 cat3\n", + " ... \n", + "499995 cat4\n", + "499996 cat4\n", + "499997 cat4\n", + "499998 cat3\n", + "499999 cat4\n", + "Name: child_wasting.exposure, Length: 500000, dtype: object" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "exposure_values = sim_baseline.get_value(\"child_wasting.exposure\")(sim_baseline.get_population().index)\n", + "exposure_values" + ] + }, + { + "cell_type": "markdown", + "id": "18dfdcfe", + "metadata": { + "papermill": { + "duration": 0.027504, + "end_time": "2025-03-11T21:29:44.145281", + "exception": false, + "start_time": "2025-03-11T21:29:44.117777", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "These hard-to-read category names can then be mapped using metadata in `gbd_mapping` into\n", + "categories we can interpret:" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "1dd90a46", + "metadata": { + "papermill": { + "duration": 0.059832, + "end_time": "2025-03-11T21:29:44.233314", + "exception": false, + "start_time": "2025-03-11T21:29:44.173482", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Unexposed\n", + "1 Severe Wasting, < -3 SD (post-ensemble)\n", + "2 Unexposed\n", + "3 Unexposed\n", + "4 Wasting Between -2 SD and -1 SD (post-ensemble)\n", + " ... \n", + "499995 Unexposed\n", + "499996 Unexposed\n", + "499997 Unexposed\n", + "499998 Wasting Between -2 SD and -1 SD (post-ensemble)\n", + "499999 Unexposed\n", + "Name: child_wasting.exposure, Length: 500000, dtype: object" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "exposure_values.map(gbd_mapping.risk_factors.child_wasting.categories.to_dict())" + ] + }, + { + "cell_type": "markdown", + "id": "bcac775a", + "metadata": { + "papermill": { + "duration": 0.027771, + "end_time": "2025-03-11T21:29:44.289061", + "exception": false, + "start_time": "2025-03-11T21:29:44.261290", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Let's make a function that does all this for us and generates a population table that is easier to look at." + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "698eec02", + "metadata": { + "papermill": { + "duration": 0.032681, + "end_time": "2025-03-11T21:29:44.349002", + "exception": false, + "start_time": "2025-03-11T21:29:44.316321", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "def get_simulants(sim):\n", + " pop = sim.get_population()[[\"alive\", \"age\", \"sex\", \"covered_by_sqlns\", \"diarrheal_diseases\"]]\n", + " pop = pop.join(\n", + " sim.get_value(\"child_wasting.exposure\")(pop.index).map(\n", + " gbd_mapping.risk_factors.child_wasting.categories.to_dict()\n", + " ).rename('child_wasting'),\n", + " how='left',\n", + " )\n", + "\n", + " return pop" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "2a6ca816", + "metadata": { + "papermill": { + "duration": 1.562516, + "end_time": "2025-03-11T21:29:45.937725", + "exception": false, + "start_time": "2025-03-11T21:29:44.375209", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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17FalseTrueWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
120FalseTrueWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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165FalseTrueWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
197FalseTrueWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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499836FalseTrueWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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328alivedead0.0251240.025124susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
381alivedead0.0027260.002726susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4346alivedead0.0014460.001446susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4512alivedead0.0008190.000819susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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493510alivedead0.6305940.630594susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
495985alivedead0.0134080.013408susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
496520alivedead1.1268511.126851susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
497122alivedead1.3162011.316201susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
497539alivedead0.0044500.004450susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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2alivealive0.0415460.060711susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
3alivealive0.6558180.674983susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4alivealive0.5637620.582927susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
...........................
499995alivealive0.4074350.426600susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499996alivealive1.7908441.810009susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499997alivealive0.8256930.844858susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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alive_beforealive_afterage_beforeage_afterdiarrheal_diseases_beforediarrheal_diseases_afterchild_wasting_beforechild_wasting_after
22alivealive1.2692311.288396susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
70alivealive1.8500301.869195susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
71alivealive1.4438151.462980diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
124alivealive0.5938710.613036susceptible_to_diarrheal_diseasesdiarrheal_diseasesUnexposedUnexposed
141alivealive0.7774090.796574susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
...........................
499884alivealive0.2245370.243701susceptible_to_diarrheal_diseasesdiarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Severe Wasting, < -3 SD (post-ensemble)
499896alivealive1.8934151.912580susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
499926alivealive1.2739891.293154diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499934alivealive0.6592130.678378diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
499961alivealive0.4387900.457955diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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alive_beforealive_afterage_beforeage_afterdiarrheal_diseases_beforediarrheal_diseases_afterchild_wasting_beforechild_wasting_after
86alivealive0.0649100.084075susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
1916alivealive0.0673270.086492susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
2318alivealive0.4839960.503161susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
2459alivealive0.0630920.082257susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
2552alivealive0.0635400.082705susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
...........................
498530alivealive0.0665440.085709susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
499251alivealive0.0756300.094795susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
499542alivealive0.0756960.094861susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
499882alivealive0.0675330.086698susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
499919alivealive0.0704940.089659susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -3 SD and -2 SD (post-ensemble)
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1723 rows × 8 columns

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" + ], + "text/plain": [ + " alive_before alive_after age_before age_after \\\n", + "86 alive alive 0.064910 0.084075 \n", + "1916 alive alive 0.067327 0.086492 \n", + "2318 alive alive 0.483996 0.503161 \n", + "2459 alive alive 0.063092 0.082257 \n", + "2552 alive alive 0.063540 0.082705 \n", + "... ... ... ... ... \n", + "498530 alive alive 0.066544 0.085709 \n", + "499251 alive alive 0.075630 0.094795 \n", + "499542 alive alive 0.075696 0.094861 \n", + "499882 alive alive 0.067533 0.086698 \n", + "499919 alive alive 0.070494 0.089659 \n", + "\n", + " diarrheal_diseases_before diarrheal_diseases_after \\\n", + "86 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "1916 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "2318 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "2459 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "2552 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "... ... ... \n", + "498530 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "499251 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "499542 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "499882 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "499919 susceptible_to_diarrheal_diseases susceptible_to_diarrheal_diseases \n", + "\n", + " child_wasting_before \\\n", + "86 Unexposed \n", + "1916 Unexposed \n", + "2318 Wasting Between -3 SD and -2 SD (post-ensemble) \n", + "2459 Unexposed \n", + "2552 Unexposed \n", + "... ... \n", + "498530 Unexposed \n", + "499251 Unexposed \n", + "499542 Unexposed \n", + "499882 Unexposed \n", + "499919 Unexposed \n", + "\n", + " child_wasting_after \n", + "86 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "1916 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "2318 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "2459 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "2552 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "... ... \n", + "498530 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "499251 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "499542 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "499882 Wasting Between -2 SD and -1 SD (post-ensemble) \n", + "499919 Wasting Between -3 SD and -2 SD (post-ensemble) \n", + "\n", + "[1723 rows x 8 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "step_forward(sim_baseline)" + ] + }, + { + "cell_type": "markdown", + "id": "9414491a", + "metadata": { + "papermill": { + "duration": 0.029264, + "end_time": "2025-03-11T21:30:11.171820", + "exception": false, + "start_time": "2025-03-11T21:30:11.142556", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We see from this output that some simulants died (the `alive` column changed to `dead`), all simulants had their age incremented upward,\n", + "some simulants got diarrheal diseases and others recovered from it, and finally that some simulants changed their wasting category.\n", + "\n", + "We take a step in the intervention scenario, and see much the same." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "ba4b929f", + "metadata": { + "papermill": { + "duration": 18.954056, + "end_time": "2025-03-11T21:30:30.155369", + "exception": false, + "start_time": "2025-03-11T21:30:11.201313", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time before: 2025-01-01 00:00:00\n", + "Time after: 2025-01-08 00:00:00\n", + "Difference in alive:\n" + ] + }, + { + "data": { + "text/html": [ + "
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alive_beforealive_afterage_beforeage_afterdiarrheal_diseases_beforediarrheal_diseases_afterchild_wasting_beforechild_wasting_after
290alivedead0.0100500.010050susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
328alivedead0.0251240.025124susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
381alivedead0.0027260.002726susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4346alivedead0.0014460.001446susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4512alivedead0.0008190.000819susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
...........................
493510alivedead0.6305940.630594susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
495985alivedead0.0134080.013408susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
496520alivedead1.1268511.126851susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
497122alivedead1.3162011.316201susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
497539alivedead0.0044500.004450susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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1alivealive0.2983150.317480susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Severe Wasting, < -3 SD (post-ensemble)
2alivealive0.0415460.060711susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
3alivealive0.6558180.674983susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4alivealive0.5637620.582927susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
...........................
499995alivealive0.4074350.426600susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499996alivealive1.7908441.810009susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499997alivealive0.8256930.844858susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499998alivealive0.1377010.156866susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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71alivealive1.4438151.462980diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
124alivealive0.5938710.613036susceptible_to_diarrheal_diseasesdiarrheal_diseasesUnexposedUnexposed
141alivealive0.7774090.796574susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
...........................
499884alivealive0.2245370.243701susceptible_to_diarrheal_diseasesdiarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Severe Wasting, < -3 SD (post-ensemble)
499896alivealive1.8934151.912580susceptible_to_diarrheal_diseasesdiarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
499926alivealive1.2739891.293154diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
499934alivealive0.6592130.678378diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -3 SD and -2 SD (post-ensemble)
499961alivealive0.4387900.457955diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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2631alivealive0.0741980.093363susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -3 SD and -2 SD (post-ensemble)
...........................
498530alivealive0.0665440.085709susceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedWasting Between -2 SD and -1 SD (post-ensemble)
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covered_by_sqlns_baselinecovered_by_sqlns_interventiondiarrheal_diseases_baselinediarrheal_diseases_interventionchild_wasting_baselinechild_wasting_intervention
0FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
1FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Severe Wasting, < -3 SD (post-ensemble)
2FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
3FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
.....................
505116FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
505117FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
505118FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
505119FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
505120FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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185966FalseTruediarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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251284FalseTruediarrheal_diseasessusceptible_to_diarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
494424FalseTruediarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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covered_by_sqlns_baselinecovered_by_sqlns_interventiondiarrheal_diseases_baselinediarrheal_diseases_interventionchild_wasting_baselinechild_wasting_intervention
17FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
120FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
131FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
165FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
197FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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499836FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
499955FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
499968FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
499984FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
499991FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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covered_by_sqlns_baselinecovered_by_sqlns_interventiondiarrheal_diseases_baselinediarrheal_diseases_interventionchild_wasting_baselinechild_wasting_intervention
0FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
1FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Severe Wasting, < -3 SD (post-ensemble)
2FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
3FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
4FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -2 SD and -1 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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510187FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesUnexposedUnexposed
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165FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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{ + "duration": 0.03214, + "end_time": "2025-03-11T21:31:13.232063", + "exception": false, + "start_time": "2025-03-11T21:31:13.199923", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Typically we do quite in-depth verification and validation (V&V) of our simulations to ensure they are implemented correctly\n", + "and behaving realistically.\n", + "As a cursory form of that for the purposes of this tutorial, let's check the prevalence of diarrhea, and the distribution\n", + "of wasting categories, in both scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "fdc18e50", + "metadata": { + "papermill": { + "duration": 1.362017, + "end_time": "2025-03-11T21:31:14.623624", + "exception": false, + "start_time": "2025-03-11T21:31:13.261607", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "susceptible_to_diarrheal_diseases 0.975225\n", + "diarrheal_diseases 0.024775\n", + "Name: diarrheal_diseases, dtype: float64" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_population = get_simulants(sim_baseline)\n", + "baseline_population.diarrheal_diseases.value_counts(dropna=False) / len(baseline_population)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "076cf721", + "metadata": { + "papermill": { + "duration": 1.325844, + "end_time": "2025-03-11T21:31:15.982673", + "exception": false, + "start_time": "2025-03-11T21:31:14.656829", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "susceptible_to_diarrheal_diseases 0.975231\n", + "diarrheal_diseases 0.024769\n", + "Name: diarrheal_diseases, dtype: float64" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intervention_population = get_simulants(sim_intervention)\n", + "intervention_population.diarrheal_diseases.value_counts(dropna=False) / len(intervention_population)" + ] + }, + { + "cell_type": "markdown", + "id": "0cba7fb6", + "metadata": { + "papermill": { + "duration": 0.028933, + "end_time": "2025-03-11T21:31:16.042516", + "exception": false, + "start_time": "2025-03-11T21:31:16.013583", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "The prevalence of diarrheal diseases is about 2.5%, which seems reasonable\n", + "(in a real model we'd want to pull the GBD number again to compare against)." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "5db3f392", + "metadata": { + "papermill": { + "duration": 0.04504, + "end_time": "2025-03-11T21:31:16.117857", + "exception": false, + "start_time": "2025-03-11T21:31:16.072817", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Unexposed 0.678455\n", + "Wasting Between -2 SD and -1 SD (post-ensemble) 0.207257\n", + "Wasting Between -3 SD and -2 SD (post-ensemble) 0.082784\n", + "Severe Wasting, < -3 SD (post-ensemble) 0.031505\n", + "Name: child_wasting, dtype: float64" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_population.child_wasting.value_counts(dropna=False) / len(baseline_population)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "07627198", + "metadata": { + "papermill": { + "duration": 0.043352, + "end_time": "2025-03-11T21:31:16.191789", + "exception": false, + "start_time": "2025-03-11T21:31:16.148437", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Unexposed 0.678455\n", + "Wasting Between -2 SD and -1 SD (post-ensemble) 0.222059\n", + "Wasting Between -3 SD and -2 SD (post-ensemble) 0.072138\n", + "Severe Wasting, < -3 SD (post-ensemble) 0.027348\n", + "Name: child_wasting, dtype: float64" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intervention_population.child_wasting.value_counts(dropna=False) / len(intervention_population)" + ] + }, + { + "cell_type": "markdown", + "id": "2a799a50", + "metadata": { + "papermill": { + "duration": 0.029724, + "end_time": "2025-03-11T21:31:16.251681", + "exception": false, + "start_time": "2025-03-11T21:31:16.221957", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "About two-thirds of simulants are not wasted, with more severe forms of wasting rarer than less severe forms.\n", + "Again, we'd typically check this against the GBD value, but for now we will simply call these reasonable.\n", + "\n", + "When we are done with V&V, we can go ahead and run the simulations the rest of the way to the end with the `run` method.\n", + "\n", + "**The following cell will take on the order of 8 hours to run!**\n", + "Start it running and come back tomorrow to finish this tutorial." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "f5a70bf3", + "metadata": { + "papermill": { + "duration": 20704.018015, + "end_time": "2025-03-12T03:16:20.299721", + "exception": false, + "start_time": "2025-03-11T21:31:16.281706", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4890d6368db240368bc2cabc80a07ef1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HTML(value=''), IntProgress(value=0, max=311)))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation complete after 311 iterations\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7f8660ec7ffc4df59bc677031718a53b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HTML(value=''), IntProgress(value=0, max=311)))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation complete after 311 iterations\n", + "CPU times: user 4h 37min 17s, sys: 1h 53min, total: 6h 30min 18s\n", + "Wall time: 6h 30min 1s\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "sim_baseline.run()\n", + "sim_intervention.run()" + ] + }, + { + "cell_type": "markdown", + "id": "20d65bf2", + "metadata": { + "papermill": { + "duration": 0.031856, + "end_time": "2025-03-12T03:16:20.364483", + "exception": false, + "start_time": "2025-03-12T03:16:20.332627", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Let's check that both simulations have reached the end of 2030:" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "7a1170ad", + "metadata": { + "papermill": { + "duration": 0.037831, + "end_time": "2025-03-12T03:16:20.433445", + "exception": false, + "start_time": "2025-03-12T03:16:20.395614", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2031-01-01 00:00:00')" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_baseline.current_time" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "7b49453b", + "metadata": { + "papermill": { + "duration": 0.038183, + "end_time": "2025-03-12T03:16:20.503671", + "exception": false, + "start_time": "2025-03-12T03:16:20.465488", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Timestamp('2031-01-01 00:00:00')" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_intervention.current_time" + ] + }, + { + "cell_type": "markdown", + "id": "97311df7", + "metadata": { + "papermill": { + "duration": 0.031471, + "end_time": "2025-03-12T03:16:20.567300", + "exception": false, + "start_time": "2025-03-12T03:16:20.535829", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We can also take a look at how the scenarios compared on the *last* timestep of the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "7cae0b83", + "metadata": { + "papermill": { + "duration": 7.275911, + "end_time": "2025-03-12T03:16:27.875155", + "exception": false, + "start_time": "2025-03-12T03:16:20.599244", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Difference in covered_by_sqlns:\n" + ] + }, + { + "data": { + "text/html": [ + "
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12613FalseTruediarrheal_diseasesdiarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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2067703FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesSevere Wasting, < -3 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
2067733FalseTruesusceptible_to_diarrheal_diseasessusceptible_to_diarrheal_diseasesWasting Between -3 SD and -2 SD (post-ensemble)Wasting Between -2 SD and -1 SD (post-ensemble)
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"source": [ + "## Analyzing results\n", + "\n", + "Now we can look at results over the duration of the simulation, rather than just the population\n", + "table at a single point in time.\n", + "\n", + "Calling `.get_results()` on our simulation object returns a dictionary of results." + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "3939e39b", + "metadata": { + "papermill": { + "duration": 0.054766, + "end_time": "2025-03-12T03:16:28.027329", + "exception": false, + "start_time": "2025-03-12T03:16:27.972563", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'ylds': measure entity_type entity sub_entity stratification \\\n", + " 0 ylds cause diarrheal_diseases diarrheal_diseases all \n", + " 1 ylds cause all_causes all_causes all \n", + " \n", + " value \n", + " 0 12471.885614 \n", + " 1 12471.885614 ,\n", + " 'deaths': measure entity_type entity sub_entity value\n", + " 0 deaths cause diarrheal_diseases diarrheal_diseases 9450.0\n", + " 1 deaths cause other_causes other_causes 85329.0,\n", + " 'ylls': measure entity_type entity sub_entity value\n", + " 0 ylls cause diarrheal_diseases diarrheal_diseases 8.439666e+05\n", + " 1 ylls cause other_causes other_causes 7.655445e+06}" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_results = sim_baseline.get_results()\n", + "baseline_results" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "87887f9d", + "metadata": { + "papermill": { + "duration": 0.048575, + "end_time": "2025-03-12T03:16:28.107985", + "exception": false, + "start_time": "2025-03-12T03:16:28.059410", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "intervention_results = sim_intervention.get_results()" + ] + }, + { + "cell_type": "markdown", + "id": "cb674337", + "metadata": { + "papermill": { + "duration": 0.032417, + "end_time": 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"status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['ylds', 'deaths', 'ylls'])" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intervention_results.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "713bbb2b", + "metadata": { + "papermill": { + "duration": 0.032212, + "end_time": "2025-03-12T03:16:28.378762", + "exception": false, + "start_time": "2025-03-12T03:16:28.346550", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "These results are recorded by the **observer** components we included in the simulation.\n", + "The `DisabilityObserver` and `MortalityObserver` produce the results about the YLDs and YLLs,\n", + "respectively.\n", + "\n", + "Looking at the YLDs first, we can see that there is an entity called `all_causes`." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "fdb26e24", + "metadata": { + "papermill": { + 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0yldscausediarrheal_diseasesdiarrheal_diseasesall12471.885614
1yldscauseall_causesall_causesall12471.885614
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" + ], + "text/plain": [ + " measure entity_type entity sub_entity stratification \\\n", + "0 ylds cause diarrheal_diseases diarrheal_diseases all \n", + "1 ylds cause all_causes all_causes all \n", + "\n", + " value \n", + "0 12471.885614 \n", + "1 12471.885614 " + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_results[\"ylds\"]" + ] + }, + { + "cell_type": "markdown", + "id": "badb2536", + "metadata": { + "papermill": { + "duration": 0.031636, + "end_time": "2025-03-12T03:16:28.515390", + "exception": false, + "start_time": "2025-03-12T03:16:28.483754", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "This aggregates the YLDs from all causes together; in our case, there is only one cause,\n", + "so this is redundant. We'll filter it out and sum the values." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "47118be2", + "metadata": { + "papermill": { + "duration": 0.036618, + "end_time": "2025-03-12T03:16:28.583019", + "exception": false, + "start_time": "2025-03-12T03:16:28.546401", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "def total_ylds(ylds_df):\n", + " ylds_df = ylds_df[ylds_df.entity != \"all_causes\"]\n", + " return ylds_df.value.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "6bd4bf49", + "metadata": { + "papermill": { + "duration": 0.038907, + "end_time": "2025-03-12T03:16:28.654386", + "exception": false, + "start_time": "2025-03-12T03:16:28.615479", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "12471.885613629956" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total_ylds(baseline_results[\"ylds\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "2e9837d8", + "metadata": { + "papermill": { + "duration": 0.038479, + "end_time": "2025-03-12T03:16:28.726250", + "exception": false, + "start_time": "2025-03-12T03:16:28.687771", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "12467.30154145267" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total_ylds(intervention_results[\"ylds\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "d937c847", + "metadata": { + "papermill": { + "duration": 0.039426, + "end_time": "2025-03-12T03:16:28.797549", + "exception": false, + "start_time": "2025-03-12T03:16:28.758123", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4.584072177285634" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulation_ylds_averted = total_ylds(baseline_results[\"ylds\"]) - total_ylds(intervention_results[\"ylds\"])\n", + "simulation_ylds_averted" + ] + }, + { + "cell_type": "markdown", + "id": "491fa0da", + "metadata": { + "papermill": { + "duration": 0.031807, + "end_time": "2025-03-12T03:16:28.862557", + "exception": false, + "start_time": "2025-03-12T03:16:28.830750", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "We see very slightly more YLDs -- more disease burden due to disability -- in our baseline scenario.\n", + "\n", + "Turning to YLLs, we see a slightly different-looking dataframe:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "8a52b800", + "metadata": { + "papermill": { + "duration": 0.041694, + "end_time": "2025-03-12T03:16:28.936802", + "exception": false, + "start_time": "2025-03-12T03:16:28.895108", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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measureentity_typeentitysub_entityvalue
0yllscausediarrheal_diseasesdiarrheal_diseases8.439666e+05
1yllscauseother_causesother_causes7.655445e+06
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" + ], + "text/plain": [ + " measure entity_type entity sub_entity value\n", + "0 ylls cause diarrheal_diseases diarrheal_diseases 8.439666e+05\n", + "1 ylls cause other_causes other_causes 7.655445e+06" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_results['ylls']" + ] + }, + { + "cell_type": "markdown", + "id": "aa8a1ecd", + "metadata": { + "papermill": { + "duration": 0.031959, + "end_time": "2025-03-12T03:16:29.002051", + "exception": false, + "start_time": "2025-03-12T03:16:28.970092", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Unlike disability/morbidity, our simulations capture **background** mortality --\n", + "mortality due to causes other than those we've explicitly modeled.\n", + "In this case, that is the majority, since diarrhea does not drive a very large proportion\n", + "of deaths! (The values in this table are displayed in [scientific notation](https://en.wikipedia.org/wiki/Scientific_notation).)\n", + "\n", + "We'll want to sum diarrhea and other causes to get an overall YLL figure for each scenario." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "4dbe7297", + "metadata": { + "papermill": { + "duration": 0.040039, + "end_time": "2025-03-12T03:16:29.073598", + "exception": false, + "start_time": "2025-03-12T03:16:29.033559", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "8499411.13232685" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_results[\"ylls\"].value.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "1a49129a", + "metadata": { + "papermill": { + "duration": 0.040146, + "end_time": "2025-03-12T03:16:29.147519", + "exception": false, + "start_time": "2025-03-12T03:16:29.107373", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "8499054.509999398" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intervention_results[\"ylls\"].value.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "4a763e50", + "metadata": { + "papermill": { + "duration": 0.039136, + "end_time": "2025-03-12T03:16:29.220387", + "exception": false, + "start_time": "2025-03-12T03:16:29.181251", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "356.6223274525255" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulation_ylls_averted = baseline_results[\"ylls\"].value.sum() - intervention_results[\"ylls\"].value.sum()\n", + "simulation_ylls_averted" + ] + }, + { + "cell_type": "markdown", + "id": "71572310", + "metadata": { + "papermill": { + "duration": 0.032332, + "end_time": "2025-03-12T03:16:29.285648", + "exception": false, + "start_time": "2025-03-12T03:16:29.253316", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Again, we see a slightly higher burden in our baseline scenario.\n", + "YLLs are driven by deaths, and we can also take a look at the count\n", + "of how many simulants died:" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "52511e30", + "metadata": { + "papermill": { + "duration": 0.041829, + "end_time": "2025-03-12T03:16:29.360674", + "exception": false, + "start_time": "2025-03-12T03:16:29.318845", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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measureentity_typeentitysub_entityvalue
0deathscausediarrheal_diseasesdiarrheal_diseases9450.0
1deathscauseother_causesother_causes85329.0
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" + ], + "text/plain": [ + " measure entity_type entity sub_entity value\n", + "0 deaths cause diarrheal_diseases diarrheal_diseases 9450.0\n", + "1 deaths cause other_causes other_causes 85329.0" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "baseline_results[\"deaths\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "94917bfd", + "metadata": { + "papermill": { + "duration": 0.042369, + "end_time": "2025-03-12T03:16:29.436605", + "exception": false, + "start_time": "2025-03-12T03:16:29.394236", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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measureentity_typeentitysub_entityvalue
0deathscausediarrheal_diseasesdiarrheal_diseases9447.0
1deathscauseother_causesother_causes85328.0
\n", + "
" + ], + "text/plain": [ + " measure entity_type entity sub_entity value\n", + "0 deaths cause diarrheal_diseases diarrheal_diseases 9447.0\n", + "1 deaths cause other_causes other_causes 85328.0" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intervention_results[\"deaths\"]" + ] + }, + { + "cell_type": "markdown", + "id": "06be44d0", + "metadata": { + "papermill": { + "duration": 0.034004, + "end_time": "2025-03-12T03:16:29.578025", + "exception": false, + "start_time": "2025-03-12T03:16:29.544021", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "The number of deaths is only different between scenarios by a handful of deaths.\n", + "What this tells us is that our YLLs averted estimate is subject\n", + "to a fair amount of random noise -- whether one simulant died or not had a big\n", + "impact on our results!\n", + "\n", + "In other words, our \"sample size\" isn't big enough for a very precise estimate.\n", + "We could improve this by increasing our simulated population size, though\n", + "doing so would make our simulation run slower." + ] + }, + { + "cell_type": "markdown", + "id": "6f2c219c", + "metadata": {}, + "source": [ + "One issue that can be confusing is that **all results we've looked at so far are within our simulated population size.**\n", + "\n", + "You can think of our simulation like a model airplane. It is at some *scale* -- say 1:100 -- of the real population.\n", + "When we get results from it, we need to scale them back up to the full size of the real population, in order to make predictions\n", + "about that real population.\n", + "\n", + "If we've forgotten, we can retrieve our simulated population size from our configuration object:" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "71b1af77", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "500000" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simulated_population_size = configuration['population']['population_size']\n", + "simulated_population_size" + ] + }, + { + "cell_type": "markdown", + "id": "355ca074", + "metadata": {}, + "source": [ + "And we can get the size of the real under-2 population in Ethiopia using `vivarium_inputs` (if we're on the IHME computing cluster) like so:" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "6748517f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6602145.94483485" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "population_structure = vivarium_inputs.get_population_structure(location).reset_index()\n", + "population_structure[population_structure.age_end <= 2].value.sum()" + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "eb1d717e", + "metadata": {}, + "source": [ + "Or alternatively, anyone can find this information on the GBD Results Tool ([share link](https://vizhub.healthdata.org/gbd-results?params=gbd-api-2021-permalink/b3254ad7a1f9c606410212b9b692b075)):\n", + "\n", + "![image.png](attachment:image.png)\n", + "\n", + "
\n", + "\n", + "Note\n", + "\n", + "You may notice that we are ignoring the lower and upper bounds also listed\n", + "in the table.\n", + "GBD does not produce draws for population estimates, so we always use the mean.\n", + "\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "c8fb27e9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6602145.9399999995" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "real_population_size = 3_346_887.78 + 3_255_258.16\n", + "real_population_size" + ] + }, + { + "cell_type": "markdown", + "id": "e31150d2", + "metadata": {}, + "source": [ + "**Assuming the 2025-2030 average population is unchanged from 2021**,\n", + "the ratio of these two numbers is our scaling factor." + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "3ad98626", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "13.20429188" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scaling_factor = real_population_size / simulated_population_size\n", + "scaling_factor" + ] + }, + { + "cell_type": "markdown", + "id": "ae3a34ba", + "metadata": {}, + "source": [ + "And now we can calculate YLDs, YLLs, and DALYs averted scaled by this factor." + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "d9b7491d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "60.52942702786662" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predicted_ylds_averted = simulation_ylds_averted * scaling_factor\n", + "predicted_ylds_averted" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "e2cc845e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4708.945302608084" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predicted_ylls_averted = simulation_ylls_averted * scaling_factor\n", + "predicted_ylls_averted" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "30796329", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4769.47472963595" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "predicted_dalys_averted = predicted_ylds_averted + predicted_ylls_averted\n", + "predicted_dalys_averted" + ] + }, + { + "cell_type": "markdown", + "id": "a45a8d45", + "metadata": { + "papermill": { + "duration": 0.032734, + "end_time": "2025-03-12T03:16:29.643806", + "exception": false, + "start_time": "2025-03-12T03:16:29.611072", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "## Presenting results\n", + "\n", + "We now have estimated an answer to our research question!\n", + "Let's communicate it to our \"client.\"\n", + "In a realistic scenario, we'd typically create some data visualizations\n", + "showing a lot of information -- perhaps broken down by age, by sex,\n", + "by location, or exploring multiple sets of scenarios.\n", + "\n", + "Here, we've only recorded a small set of results. We might write:\n", + "\n", + "> According to our simulation, delivering SQ-LNS to all eligible children in\n", + "> Ethiopia starting in 2025 would avert **4,800** DALYs by 2030." + ] + }, + { + "cell_type": "markdown", + "id": "8d8d1eb6", + "metadata": { + "papermill": { + "duration": 0.033504, + "end_time": "2025-03-12T03:16:29.711313", + "exception": false, + "start_time": "2025-03-12T03:16:29.677809", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "## Conclusion\n", + "\n", + "In this tutorial, we've used Vivarium, the Vivarium Public Health suite of components, GBD estimates,\n", + "and effect sizes from the literature to come up with an answer to a what-if question.\n", + "The simulation model we've built has all the structural pieces that most models we\n", + "build on the Simulation Science team have!\n", + "\n", + "However, this tutorial was designed to be as simple as possible.\n", + "For a real model:\n", + "\n", + "* Our research question would likely be more complex or have multiple sub-questions.\n", + "* Our model would be more complex, including multiple pathways between our intervention\n", + " and our outcome(s).\n", + "* Our verification and validation (V&V) process would be much more in-depth.\n", + "* We would quantify uncertainty about our result, requiring more\n", + " computational resources (we typically run our analyses on IHME's computing cluster).\n", + "* We likely wouldn't \"get everything right\" the first time, as represented in this tutorial,\n", + " but have a more iterative process.\n", + " We often discover issues with our model design or implementation and need to revisit earlier\n", + " steps.\n", + "\n", + "If you've followed along and are up for a challenge, see if you can apply what you've learned,\n", + "and the information you can glean from other documentation, by extending this model!\n", + "Here are some ideas you could try:\n", + "\n", + "* Running this simulation for another location (if you have access to build a new artifact)\n", + "* Incorporating additional data about the treatment effect size for added realism\n", + "* Adding another pathway from our causal diagram to the simulation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44131119-accd-41c8-b419-818def67cb2b", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "tutorial_4", + "display_name": "tutorial_9", "language": "python", "name": "python3" }, @@ -1779,8 +10049,558 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" + }, + "papermill": { + "default_parameters": {}, + "duration": 20917.052654, + "end_time": "2025-03-12T03:16:30.662460", + "environment_variables": {}, + "exception": null, + "input_path": "index.ipynb", + "output_path": "index_run.ipynb", + "parameters": {}, + "start_time": "2025-03-11T21:27:53.609806", + "version": "2.6.0" + }, + "widgets": { + 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a/requirements.txt b/requirements.txt index e2ff7a0967..9623d72c99 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,4 +3,5 @@ sphinx-autobuild sphinx_rtd_theme nbsphinx ipython +ipywidgets matplotlib From 6f587e896ff2b2e36960adeaadb0015862b6d159 Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Tue, 18 Mar 2025 08:21:03 -0700 Subject: [PATCH 3/8] Add notes about prevalence scenario comparison --- docs/source/onboarding_resources/tutorial/index.ipynb | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index 20af57a517..e3b5f35fdb 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -8129,7 +8129,10 @@ }, "source": [ "The prevalence of diarrheal diseases is about 2.5%, which seems reasonable\n", - "(in a real model we'd want to pull the GBD number again to compare against)." + "(in a real model we'd want to pull the GBD number again to compare against).\n", + "\n", + "We can also see that the prevalence is very slightly higher in our baseline scenario,\n", + "which reflects that our intervention averted some diarrhea cases." ] }, { @@ -8217,6 +8220,12 @@ "About two-thirds of simulants are not wasted, with more severe forms of wasting rarer than less severe forms.\n", "Again, we'd typically check this against the GBD value, but for now we will simply call these reasonable.\n", "\n", + "We can also see the effects of our intervention at the population level in these outputs.\n", + "The prevalence of `Unexposed` is unchanged, since these simulants are not impacted by the intervention.\n", + "The prevalence of mild wasting (`Between -2 SD and -1 SD`) is slightly *higher* in our intervention scenario,\n", + "because simulants who benefit are shifted into this category.\n", + "And finally, moderate and severe wasting are each less prevalent with our intervention active, as we'd expect!\n", + "\n", "When we are done with V&V, we can go ahead and run the simulations the rest of the way to the end with the `run` method.\n", "\n", "**The following cell will take on the order of 8 hours to run!**\n", From c61dd0b8202ba2fb50505af5ae73f9004a2957aa Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Tue, 18 Mar 2025 08:25:39 -0700 Subject: [PATCH 4/8] Re-run CI From a37199c24b5847c008d94f0cc9241ba18970da4e Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Fri, 28 Mar 2025 12:36:45 -0700 Subject: [PATCH 5/8] nit: Wording suggestion from Abie --- docs/source/onboarding_resources/tutorial/index.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index e3b5f35fdb..4c2249b41e 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -3309,7 +3309,7 @@ "introducing substantial inaccuracy; how much we can get away with\n", "depends on what we are modeling.\n", "We explain much more about this on the [\"Choosing an Appropriate Time Step\" page](../../model_design/designing_vivarium_model/choosing_appropriate_time_step/index.rst).\n", - "Here, our timestep will be 1 week." + "Here, our timestep will be 7 days." ] }, { From 9416c817c1aed42e695469b13de45d114da10104 Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Fri, 11 Jul 2025 17:51:26 -0700 Subject: [PATCH 6/8] Address PR comments --- .../onboarding_resources/tutorial/index.ipynb | 39 +++++++++++++------ 1 file changed, 28 insertions(+), 11 deletions(-) diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index 4c2249b41e..1d732f726c 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -2036,7 +2036,7 @@ "\n", "* Prevalence: proportion of people who have the disease\n", "* Incidence rate: the rate at which people without the disease acquire it\n", - "* Excess mortality rate: the rate at which people with the disease die, above and beyond the rate at which people without the disease die\n", + "* Excess mortality rate: the rate at which people who currently have the disease die of the disease\n", "\n", "*Sometimes*, GBD will also save results about **remission**, which is the rate at which people with the disease get better and stop having the disease.\n", "However, this is not uniformly available for all most-detailed causes.\n", @@ -2144,7 +2144,7 @@ "since that is the age at which they are eligible to receive SQ-LNS.\n", "However, there is some nuance to this: simulants will age during our simulation.\n", "The simulants eligible to receive SQ-LNS in 2029 won't have even been *born*\n", - "yet in 2025. For that reason, we'll start with a population of simulants all the way down to newborns,\n", + "yet in 2025. For that reason, we'll start with a population of simulants ranging from 24 months old all the way down to newborns,\n", "and we'll need to model fertility to have new births during the simulation.\n", "\n", "There are several standard ways we model fertility. In this case, because we won't be\n", @@ -2220,9 +2220,10 @@ "source": [ "\n", "The transition in this diagram is informed by GBD mortality rates.\n", - "Our standard approach is to start from all-cause mortality and delete mortality due to any modeled causes.\n", - "Then, we add back in mortality due to modeled causes in the form of excess mortality for those in the infected\n", - "states of those causes.\n", + "Our standard approach is to start from GBD's all-cause mortality and delete mortality due to any modeled causes to determine the \"background\" mortality rate (mortality rate due to everything we're not modeling explicitly).\n", + "We apply that background mortality rate to all simulants.\n", + "Then, for each modeled disease/cause, we additionally apply the GBD-derived *excess* mortality rate of that disease *only to simulants who currently have the disease*.\n", + "The excess mortality rate, as mentioned previously, is the term for the rate of death due to a disease among people who have that disease (which will of course be higher than the rate of death due to that disease among all people, since people without the disease cannot die of it).\n", "\n", "Nonfatal burden is estimated by applying GBD disability weights to those in\n", "infected states." @@ -2250,12 +2251,24 @@ "machine.\n", "\n", "As mentioned in the data strategy section, GBD causes are pretty standard.\n", - "They essentially always have two states: infected, and susceptible (not infected).\n", + "They usually give us information about two states: having the disease, and not having it.\n", + "(\"Having the disease\" is often called \"infected,\" even when talking about a non-infectious disease.)\n", "GBD gives us (some) information on how people move between these states.\n", "\n", - "Diarrheal diseases are typically of very short duration, so we definitely want to capture\n", - "that people can have go in and out of episodes. However, unlike some infectious diseases,\n", - "having an episode of diarrheal disease does not make you immune from future episodes.\n", + "We may choose to sub-divide either or both of these states in our state machine\n", + "model.\n", + "For example, for progressive diseases like cancers that go into remission and relapse,\n", + "we may want to have a state for \"newly diagnosed,\" \"first relapse,\" etc.\n", + "For some diseases, the \"not having the disease\" state is really a composite of multiple\n", + "things: for example, people without a vaccine-preventable disease\n", + "may or may not be vaccinated, and only those not vaccinated would be at risk of developing it.\n", + "\n", + "For our example, diarrheal diseases are typically of very short duration, so we definitely want to capture\n", + "that people can have go in and out of episodes.\n", + "However, unlike some infectious diseases,\n", + "having an episode of diarrheal disease does not make you immune from future episodes,\n", + "and there is no vaccinated or otherwise immune population, so everyone who doesn't have\n", + "diarrheal diseases can be called \"susceptible\" to them.\n", "This makes diarrheal diseases best represented by this state machine:" ] }, @@ -6035,7 +6048,7 @@ }, "source": [ "We see from this output that some simulants died (the `alive` column changed to `dead`), all simulants had their age incremented upward,\n", - "some simulants got diarrheal diseases and others recovered from it, and finally that some simulants changed their wasting category.\n", + "some simulants got diarrheal diseases (the `diarrheal_diseases` column changed from `susceptible_to_diarrheal_diseases` to `diarrheal_diseases`) and others recovered from it (vice versa), and finally that some simulants changed their wasting category.\n", "\n", "We take a step in the intervention scenario, and see much the same." ] @@ -8229,7 +8242,11 @@ "When we are done with V&V, we can go ahead and run the simulations the rest of the way to the end with the `run` method.\n", "\n", "**The following cell will take on the order of 8 hours to run!**\n", - "Start it running and come back tomorrow to finish this tutorial." + "Start it running and come back tomorrow to finish this tutorial.\n", + "Make sure to run it in a way that won't get interrupted, i.e.\n", + "leave your computer on, make sure it won't go to sleep,\n", + "make sure you won't get disconnected if you are running this notebook\n", + "on a remote computer, etc." ] }, { From 3dd465b99878c58923d2e54ce5a7822847976bad Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Tue, 15 Jul 2025 15:40:57 -0700 Subject: [PATCH 7/8] Address Ali's comments --- .../onboarding_resources/tutorial/index.ipynb | 81 +++++++++++++------ 1 file changed, 56 insertions(+), 25 deletions(-) diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index 1d732f726c..53d36f97ed 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -142,7 +142,7 @@ "Often, this starts from a proposal on their side.\n", "The client may come to us with a question like this:\n", "\n", - "> How much impact could it have if we scaled up SQ-LNS in Ethiopia?\n", + "> What would the impact be of scaling up SQ-LNS in Ethiopia?\n", "\n", "However, this question is **not** precise enough to be our research question.\n", "We need to ask clarifying questions to understand what options decision-makers\n", @@ -589,8 +589,14 @@ "\n", "This is a complex topic, but for now what you need to know is:\n", "\n", - "* GBD causes and risks are both hierarchical; that is, there are higher-level causes and risks that are made up of lower-level causes and risks.\n", - "* We can't easily model higher-level entities, so we are usually only interested in the most-detailed entities in the cause and risk hierarchies.\n", + "* GBD causes and risks are both hierarchical.\n", + " There are higher-level causes such as sexually transmitted infection that are made up of more detailed lower-level causes such as syphilis.\n", + " Likewise, there are higher-level risks such as \"metabolic risks\" that are made up of more detailed risks such as high blood pressure.\n", + "* We typically only model most-detailed causes and risks.\n", + " GBD doesn't estimate all the quantities we need for modeling about higher-level entities.\n", + " With extra work, it may be possible for us to derive these quantities from GBD results, but that is not common practice on our team and is\n", + " outside the scope of this tutorial. \n", + " This is an area our team is interested in exploring more in the future.\n", "\n", "" ] @@ -619,7 +625,7 @@ "* Internally to IHME, there is the [Shared Hierarchy Editor](https://she.ihme.washington.edu/explore/cause/version/655)\n", " -- don't worry, you won't edit anything by accident.\n", "* Entities can be accessed programmatically with the `gbd_mapping` package, which is part of our Vivarium microsimulation suite.\n", - " Internally to IHME, shared functions can also be used.\n", + " Internally to IHME, [shared functions](https://hub.ihme.washington.edu/spaces/SF/pages/140542419/Shared+Functions+Home) can also be used.\n", "\n", "Here, we'll use `gbd_mapping`." ] @@ -1493,7 +1499,7 @@ "tags": [] }, "source": [ - "Now seems like a good time to dissect what is happening with iron deficiency and anemia,\n", + "Now seems like a good time to dive a bit deeper into what is happening with iron deficiency and anemia,\n", "and in the process learn how to dig into the GBD methods.\n", "\n", "Remember, in our original causal diagram (from the FAQ) we had \"iron deficiency\" and \"anemia.\"\n", @@ -1529,21 +1535,27 @@ "> See the methodological description of “Anaemia (impairment)” for detailed description of\n", "> the analytic approach and inputs.\n", "\n", - "It sounds like the GBD \"iron deficiency\" risk factor is the same thing as anemia.\n", - "We can confirm this by some background research, which turns up (for example) [this page](https://www.hematology.org/education/patients/anemia)\n", + "It sounds like the GBD \"iron deficiency\" risk factor is closely related to the concept of anemia.\n", + "Its exposure is quantified in terms of hemoglobin.\n", + "Some background research turns up (for example) [this page](https://www.hematology.org/education/patients/anemia)\n", "from the American Society of Hematology which states that anemia is defined by hemoglobin:\n", "\n", "> [Anemia] is diagnosed when a blood test shows a hemoglobin value of less than 13.5 gm/dl\n", "> in a man or less than 12.0 gm/dl in a woman. Normal values for children vary with age.\n", "\n", - "In that case, what was meant by \"iron deficiency\" in the SQ-LNS FAQ, if that was distinct\n", + "However, there's additional complexity to the iron deficiency risk factor, which is explored in subsequent pages\n", + "of the risk factor methods appendix.\n", + "For the purposes of drawing this causal diagram, we can assume the iron deficiency risk factor is the same\n", + "as \"anemia\" from the SQ-LNS FAQ, but we'd need to understand some of these additional intricacies before actually modeling it.\n", + "\n", + "Given what we've learned so far, you might wonder: what was meant by \"iron deficiency\" in the SQ-LNS FAQ, if that was distinct\n", "from anemia?\n", "To find this out, we'll scan [the paper cited in the FAQ](https://pmc.ncbi.nlm.nih.gov/articles/PMC8560313/),\n", "which is available for free on PubMed Central.\n", "There, iron deficiency was defined using \"plasma ferritin,\" which we can confirm is _not_\n", "the same thing as hemoglobin and doesn't appear anywhere in the risk factors methods appendix.\n", "\n", - "So, to summarize: GBD \"iron deficiency\" risk = SQ-LNS FAQ \"anemia.\"\n", + "So, to summarize: GBD \"iron deficiency\" risk is approximately the same thing as SQ-LNS FAQ \"anemia.\"\n", "Good thing we checked!\n", "\n", "\n", @@ -1695,8 +1707,8 @@ "Don't be afraid of making a very complex diagram at this stage!\n", "This is the time to go maximalist before we start editing down to what we will actually model.\n", "\n", - "As an example, we think it is quite likely that SQ-LNS' effects are muted by unsafe sanitation,\n", - "which is a GBD risk:" + "As an example, based on having read studies like [Wessells et al. 2021](https://pubmed.ncbi.nlm.nih.gov/34590114/),\n", + "we think it is quite likely that SQ-LNS is less effective in areas with unsafe sanitation infrastructure (a risk factor available in GBD):" ] }, { @@ -2035,18 +2047,28 @@ "For a cause, such as diarrheal diseases, the Vivarium suite can pull GBD results about:\n", "\n", "* Prevalence: proportion of people who have the disease\n", - "* Incidence rate: the rate at which people without the disease acquire it\n", - "* Excess mortality rate: the rate at which people who currently have the disease die of the disease\n", + "* Incidence rate: the rate at which people acquire the disease\n", + "* Mortality rate: the rate at which people die of the disease\n", "\n", "*Sometimes*, GBD will also save results about **remission**, which is the rate at which people with the disease get better and stop having the disease.\n", "However, this is not uniformly available for all most-detailed causes.\n", "Frequently, when this isn't saved, we can find information about duration of the condition in the nonfatal methods appendix.\n", "For diarrheal diseases, it *is* saved, so we don't have to look for this.\n", "\n", - "One thing to be careful of is COVID shocks. Since we want to simulate 2025-2030, we may be more\n", + "

\n", + "\n", + "Note\n", + "\n", + "Sometimes, we *prefer* to use a duration from the methods appendix (or another source) over the GBD remission estimate,\n", + "so even if it exists, we don't *always* use it.\n", + "For the purposes of this tutorial, we will use the GBD remission estimate, since that makes our process a bit simpler.\n", + "\n", + "
\n", + "\n", + "One thing to be careful of is COVID effects. Since we want to simulate 2025-2030, we may be more\n", "comfortable assuming that infectious disease burden is like 2019 (pre-pandemic) than 2021 (during pandemic).\n", "Because diarrheal disease is mostly spread through contaminated water, and\n", - "[doesn't exhibit a strong COVID shock in GBD](http://ihmeuw.org/6syo), we will use 2021.\n", + "[doesn't exhibit a strong COVID \"shock\" (a sudden change coinciding with the pandemic) in GBD](http://ihmeuw.org/6syo), we will use 2021.\n", "\n", "For a risk factor, such as child wasting, our standard tools pull GBD results about **exposure**\n", "(what proportion of the population is exposed to what levels of the risk factor)\n", @@ -2078,7 +2100,7 @@ "\n", "We could do a whole literature review to inform the impact of the intervention on child wasting.\n", "But for simplicity here, we'll use the meta-analysis by Dewey et al. that was linked from the SQ-LNS FAQ.\n", - "Digging into that paper, Table 3 reports a 14% decrease in wasting with a CI of 7-20%.\n", + "Digging into that paper, Table 3 reports a 14% decrease in wasting with a confidence interval of 7-20%.\n", "Wasting was defined as a weight-for-length Z score (WLZ -- which is equivalent to WHZ) of less than -2.\n", "\n", "
\n", @@ -2146,6 +2168,8 @@ "The simulants eligible to receive SQ-LNS in 2029 won't have even been *born*\n", "yet in 2025. For that reason, we'll start with a population of simulants ranging from 24 months old all the way down to newborns,\n", "and we'll need to model fertility to have new births during the simulation.\n", + "This is easier, with our current tools, than creating 6-month-old simulants out of thin air\n", + "during the simulation.\n", "\n", "There are several standard ways we model fertility. In this case, because we won't be\n", "simulating the adults who would be giving birth, using age-specific fertility rates doesn't\n", @@ -2170,7 +2194,7 @@ "#### Burden\n", "\n", "Burden is typically modeled the same in every simulation we make.\n", - "Death/mortality is modeled as a **state machines** where people move (\"transition\") dynamically\n", + "Death/mortality is modeled as a **state machine** where people move (\"transition\") dynamically\n", "between states depending on their current state.\n", "\n", "Here is a diagram of our standard mortality state machine, where a circle\n", @@ -2220,10 +2244,13 @@ "source": [ "\n", "The transition in this diagram is informed by GBD mortality rates.\n", - "Our standard approach is to start from GBD's all-cause mortality and delete mortality due to any modeled causes to determine the \"background\" mortality rate (mortality rate due to everything we're not modeling explicitly).\n", - "We apply that background mortality rate to all simulants.\n", - "Then, for each modeled disease/cause, we additionally apply the GBD-derived *excess* mortality rate of that disease *only to simulants who currently have the disease*.\n", - "The excess mortality rate, as mentioned previously, is the term for the rate of death due to a disease among people who have that disease (which will of course be higher than the rate of death due to that disease among all people, since people without the disease cannot die of it).\n", + "Our standard approach is to start from GBD's all-cause mortality rate, which is the rate at which people in the population die (of any cause).\n", + "Then, we delete cause-specific mortality rates due to modeled causes to determine the \"background\" mortality rate (mortality rate due to everything we're not modeling explicitly),\n", + "which we apply to all simulants.\n", + "A \"cause-specific mortality rate\" is the rate at which people in the overall population die of a specific cause; it is directly comparable with the\n", + "all-cause mortality rate because both have the full population as the denominator.\n", + "On top of the background mortality, for each modeled disease/cause, we apply the GBD-derived *excess* mortality rate of that disease *only to simulants who currently have the disease*.\n", + "The excess mortality rate is the term for the rate of death due to a disease among people who have that disease (which will always be higher than the cause-specific mortality rate, since people without the disease cannot die of it).\n", "\n", "Nonfatal burden is estimated by applying GBD disability weights to those in\n", "infected states." @@ -2266,8 +2293,10 @@ "For our example, diarrheal diseases are typically of very short duration, so we definitely want to capture\n", "that people can have go in and out of episodes.\n", "However, unlike some infectious diseases,\n", - "having an episode of diarrheal disease does not make you immune from future episodes,\n", - "and there is no vaccinated or otherwise immune population, so everyone who doesn't have\n", + "having an episode of diarrheal disease does not generally make you immune from future episodes,\n", + "and while there are vaccines for some specific pathogens such as rotavirus,\n", + "there isn't a population totally immune to diarrhea.\n", + "Therefore we'll assume that everyone who doesn't have\n", "diarrheal diseases can be called \"susceptible\" to them.\n", "This makes diarrheal diseases best represented by this state machine:" ] @@ -2488,7 +2517,7 @@ }, "source": [ "These components all *do* things: create newborn simulants, make simulants get sick and recover, or make simulants die, for example.\n", - "We also typically need a type of component called an **observer**, which doesn't do anything but just records what happens.\n", + "We also typically need a type of component called an **observer**, which which does not act on the simulated population but just records what happens.\n", "This is how, for example, we can record the disease burden our simulants experience.\n", "There are standard observers in `vivarium_public_health` -- we'll use some that record the fatal and nonfatal burden." ] @@ -2532,8 +2561,10 @@ "tags": [] }, "source": [ - "The last thing that is missing is our intervention. Unfortunately, we can't get this from `vivarium_public_health` -- we need to make this\n", + "The last thing that is missing is our intervention. Unfortunately, we can't currently get this from `vivarium_public_health` -- for now, we need to make this\n", "component from scratch.\n", + "There is work underway to add a cookie-cutter intervention component to `vivarium_public_health`,\n", + "which will make this easier!\n", "\n", "A component is a Python *class* with special methods and properties. We won't get into all the details here,\n", "but at a high level:\n", From 4982c40f760f9a49c6136a3df640447bfc45f113 Mon Sep 17 00:00:00 2001 From: Zeb Burke-Conte Date: Fri, 22 Aug 2025 13:14:10 -0700 Subject: [PATCH 8/8] Fix typo --- docs/source/onboarding_resources/tutorial/index.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/onboarding_resources/tutorial/index.ipynb b/docs/source/onboarding_resources/tutorial/index.ipynb index 53d36f97ed..1e5759b88b 100644 --- a/docs/source/onboarding_resources/tutorial/index.ipynb +++ b/docs/source/onboarding_resources/tutorial/index.ipynb @@ -2517,7 +2517,7 @@ }, "source": [ "These components all *do* things: create newborn simulants, make simulants get sick and recover, or make simulants die, for example.\n", - "We also typically need a type of component called an **observer**, which which does not act on the simulated population but just records what happens.\n", + "We also typically need a type of component called an **observer**, which does not act on the simulated population but just records what happens.\n", "This is how, for example, we can record the disease burden our simulants experience.\n", "There are standard observers in `vivarium_public_health` -- we'll use some that record the fatal and nonfatal burden." ]

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