The COVID-19 Outbreak Detection Tool detects recent COVID-19 outbreaks in U.S. counties. The tool leverages machine learning to predict how fast an outbreak could spread at the county level by estimating the doubling time of COVID-19 cases. It accounts for reported COVID-19 cases and deaths, face mask mandates, social distancing policies, the CDC’s Social Vulnerability Index, changes in tests performed and rate of positive tests. The tool offers an interactive map and a data explorer allowing users to filter and rearrange counties based on predicted trends, which get updated at least once per week.
Data files used for the analysis are included in the data folder.
Source code for the backend is located at the src folder.
The backend workflow can be found in the WorkFlow.txt document.
To reference, please cite our paper Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection .