Guides, best practices, templates, and discussions for the WHO open source community
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Updated
Feb 25, 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.
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.
🌸 Notebooks for making publish-worthy visualizations using WHO breast cancer data
Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.
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)
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
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)
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/.
Interactive Stepped-Wedge Cluster Randomised Trial Data Analysis Tool
World Health Organization Coronavirus disease (COVID-2019) PDF situation reports available in Excel and CSV formats
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.
files relating to evaluation of InterVA-5 software
Python algorithm for converting WHO official COVID daily reporting tables (PDF) into simple data format (Pandas / CSV file).
Create digital growth charts based on the WHO child growth standards
Repository with scripts for processing health indicators from the IHME and WHO.
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