A paper published in a special edition of the Harvard Data Science Review utilizes geo-mapping to identify high-risk areas for the spread of COVID-19 across the Districts and Parliamentary Constituencies of India. The researchers focus on four risk correlates including:
- population density
- percentage of population that is exposed to crowding in a household,
- percentage of population without access to handwashing facilities
- percentage of population over 65 years of age
These estimates could help to inform policy by providing decision makers with relevant data about their more vulnerable constituents.
Study authors include: S. V. Subramanian, Omar Karlsson, Weixing Zhang, and Rockli Kim