Major project
Healthcare & Hospitals
Disease burden trends and forecasts
Analyse and forecast disease burden across countries, and what explains the differences.
The brief
A public-health foundation wants to know where disease burden is falling fastest and why. Combine global health indicators with development data, analyse trends for a few diseases, forecast them, and explain differences between countries. Good looks like: careful, well-sourced analysis, forecasts with uncertainty, and a policy brief.
What you will build
- Choose the diseases and indicators
- Assemble the data from WHO and other open sources
- Analyse trends and compare countries
- Model the drivers of difference
- Forecast with uncertainty
- Write a policy brief and an interactive page
Free, open data to build it with
- WHO Global Health Observatory ↗ World Health Organization
- Our World in Data ↗ Our World in Data
- World Bank Open Data ↗ World Bank
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.