Forecasting COVID-19 Cases Based on Social Distancing in Maryland, USA: A Time-Series Approach.
Raul Cruz-CanoTianzhou MaYifan YuMinha LeeHongjie LiuPublished in: Disaster medicine and public health preparedness (2021)
Our proposed models that incorporate SDI can forecast the number of COVID-19 cases in a region. Their parameters have real-life interpretations and, hence, can help understand the inner workings of the epidemic. The methods detailed here can help local health governments and other agencies adjust their response to the epidemic.