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Copy file name to clipboardExpand all lines: docs/source/models/risk_exposures/child_growth_failure/wasting/wasting_state_exposure_with_complicated_sam/index.rst
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@@ -161,12 +161,8 @@ Vivarium Modeling Strategy
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- See detail of the derivation of this parameter on the :ref:`2021 wasting risk exposure page <2021_risk_exposure_wasting_state_exposure>`
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* - complicated_sam_fraction
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- Fraction of SAM cases in the "complicated" substate
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- Values will be output at the draw/age/sex/subnational-specific level from the wasting calibration. TODO: post link when ready
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- `See placeholder values here <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/0acb49fac8[…]lation/nigeria/kebbi-copied-dummy-transitions-all-locations.csv>`__ parameter == 'comp_frac'
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.. todo::
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Add data for complicated_sam_fraction parameter
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- Values will be output at the draw/age/sex/subnational-specific level from the wasting calibration. TODO: update link as current csv changes
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- `See current values here <https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/ba62a66d56638703cee9be1415c34f04b2e5762c/data_prep/cgf_correlation/nigeria/wasting_processed_csam__filled_mean_converging__500draws.csv>`__ parameter == 'complicated_fraction'
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Initialization
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--------------
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.. image:: calibration_transitions.svg
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The process of generating draw-level values for all wasting transitions is outlined below. See the code for generating draw-specific transition values in this notebook here: TODO: link when ready/merged
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The process of generating draw-level values for all wasting transitions is outlined below. See the code for generating draw-specific transition values in this notebook `here<https://github.com/ihmeuw/vivarium_research_nutrition_optimization/blob/ba62a66d56638703cee9be1415c34f04b2e5762c/data_prep/cgf_correlation/nigeria/wasting_transition_sampling_subnational_COMPLICATED_SAM.ipynb>`_: TODO: update link when the nb changes are merged
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1. Load all pre-defined input data values (in accordance with documentation linked above). These include:
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- Proportion of cases that deteriorate from uncomplicated to complicated SAM during outpatient treatment
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- Incidence rates from the KI database for transitions into mild wasting, MAM, and uncomplicated SAM
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.. todo::
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.. list-table:: Calibration input parameters
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:header-rows: 1
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Include data table for all of these parameters (Tyler to make PR with table, values, and references)
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* - Parameter
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- First-pass value
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- Widened value
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- Source
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* - Daily mortality probability of uncomplicated SAM
* - Proportion of cases that deteriorate from uncomplicated to complicated SAM during outpatient treatment
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- uniform (0.014, 0.22)
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- `Bailey 2020 <https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003192>`_ (COMPAS Trial); `Wilunda 2021 <https://link.springer.com/article/10.1038/s41598-021-81811-6?fromPaywallRec=false>`_ (pilot study in Tanzania); `Alvarez Morán 2018 <https://link.springer.com/article/10.1186/s12913-018-2987-z>`_ (trial in Mali); `Kangas 2022 <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267538>`_ (trial in Burkina Faso)
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* - Incidence rates for transitions into mild wasting, MAM, and uncomplicated SAM
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- Randomly sampled event count / time values from study set
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- KI database
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4. Using the randomly sampled values from step #3, calculate the daily probabilities for all transitions in the steady state system (see linked word document for specific equations), including:
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