The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…

• UpdatedJan 11, 2020
• Python

Combine and visualize predictions of international periodically updated COVID-19 pandemic models for the global level and six WHO regions

• UpdatedDec 8, 2023
• Stata

Combine and visualize predictions of international periodically updated COVID-19 pandemic models for countries without subnational level estimates: Iran

• UpdatedSep 14, 2023
• Stata

ihme: an R package for making life here a little easier.

• UpdatedMar 4, 2019
• R

Canada Burden of Disease 1990-2019

• UpdatedFeb 22, 2024
• Stata

Repository with scripts for processing health indicators from the IHME and WHO.

• UpdatedOct 12, 2023
• Python

An attempt to calcualte risk factor exposure values from GBD prevalence data.

• UpdatedMay 17, 2021
• HTML

This repo would hold cleaned data from various sources on eating disorders for the #EDAW2023 week

• UpdatedMar 2, 2023
• Jupyter Notebook

Mapping between Global Burden of Disease location_id and standard iso3 country identifiers

• UpdatedAug 29, 2024

Combine and visualize predictions of international periodically updated COVID-19 pandemic models for countries with subnational level estimates: Canada

• UpdatedAug 15, 2023
• Stata

This project aims to explore the complex relationship between income level and the prevalence of specific mental disorders globally and over time.

• UpdatedApr 10, 2023
• R