There are 0 repository under ihme topic.
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 data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.
Combine and visualize predictions of international periodically updated COVID-19 pandemic models for the global level and six WHO regions
Canada Burden of Disease 1990-2019
This repo would hold cleaned data from various sources on eating disorders for the #EDAW2023 week
Combine and visualize predictions of international periodically updated COVID-19 pandemic models for countries with subnational level estimates: Canada
An attempt to calcualte risk factor exposure values from GBD prevalence data.
Repository with scripts for processing health indicators from the IHME and WHO.
This project aims to explore the complex relationship between income level and the prevalence of specific mental disorders globally and over time.