COVID Atlas provides easy to understand local-level data –
including local charts, maps, and insights – related to the
COVID-19 pandemic. This project is community-developed, open
source, and publishes all data, research, and related findings in
the public domain.
I assisted in creating a Python webscraper that collected COVID-19 statistics data from the Indian Ministry of Health. This data increased the granularity from a country-level to state-level in the COVID Atlas database, as well as a source in the coronadatascraper.