Space-time Forecast of Infectious Count and Risk Analysis

We aim to provide a user-friendly tool to visualize, track and predict real-time infected cases of COVID-19 in US, based on our collected data and proposed methods, and thus further illustrate the spatiotemporal dynamics of the disease spread and guide evidence-based decision making.


We established a new nonparametric modeling framework for space-time infected count data to study the spatial-temporal pattern in the spread of COVID-19. The proposed methodology can be used to dissect the spatial structure and dynamics of spread, as well as to assess how this outbreak may unfold through time and space.


Currently, we provide a 7-day rolling forecast of COVID19 infected count at both the county level and state level, as well as the corresponding risk analysis. The COVID-19 Dashboard was launched on 03/27/2020 for displaying results of our statistical analyses on publicly available COVID-19 datasets merged from different sources.