The Chelsea Policy Simulator

In an effort to capture lessons from Chelsea’s pandemic response efforts against COVID-19, CCI researchers have built an empirical Bayes agents-based policy simulator for the Chelsea Project. This tool models demographics, mobility, transmission, infection, and disease dynamics using a large number of datasets such as anonymized aggregated phone location data for Massachusetts, in addition to census data.