Abstract

The spatial-temporal nature of the spread of the COVID-19 pandemic demands the development of modelling methods to understand the disease dynamics, which could help identify high-risk regions dynamically over time for disease surveillance and targeted intervention. In this presentation, a spatial-temporal modelling framework is proposed to model the spatial-temporal dependencies of COVID-19 risk. The proposed model also helps to evaluate how the disparity of the risk may be attributable to neighborhood-level characteristics, such as socio-economic disparities.