Guides, best practices, templates, and discussions for the WHO open source community
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Updated
Oct 7, 2025 - Shell
Guides, best practices, templates, and discussions for the WHO open source community
An R package for accessing and summarising the World Health Organisation Tuberculosis data.
Personal hearing dosimeter for Windows. Real-time SPL monitoring (dB) for headphones and earphones based on hardware specs, NIOSH, and WHO standards. Built with Electron & Python.
Send latest Covid updates and statistics obtained from Worldometers via email to a group of recipients. This script is triggered by the Windows Task Scheduler to execute daily at a specified time.
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
🌸 Notebooks for making publish-worthy visualizations using WHO breast cancer data
Project is a Natural Language Processing (NLP) and Machine Learning initiative designed to analyze global public sentiment and intent during the COVID-19 pandemic. By processing millions of Bing search queries, the system visualizes the core concerns of citizens (e.g., vaccine rumors, food shortages, mental health).
Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks
A collection of news and FAQs about COVID19 (Coronavirus Disease - 2019)
Documentation for CGHR's processed ICD data from the WHO
Women's_Maternal and Reproductive Health around the world (WHO Data cleaning, Data transformation, Data Normalization, Data Engineering, Data modeling, ERD Dia, Exploratory Analysis, Data visualization)
Parse a XML file of ICD10 codes
Interactive Stepped-Wedge Cluster Randomised Trial Data Analysis Tool
This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.
World Health Organization Coronavirus disease (COVID-2019) PDF situation reports available in Excel and CSV formats
Create digital growth charts based on the WHO child growth standards
Males and Females dataset across different regions with the details of life expectancy over the past few decades.
An analysis and prediction of diabetes using the dataset which is originally from the National Institute of Diabetes and Digestive and Kidney Diseases.
Complete WHO disease tracker with 5-year age groups, age-standardized rates, and machine learning predictions.
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