A spatio-temporal Dirichlet process mixture model for coronavirus disease-19
Description
Understanding the spatio-temporal patterns of the coronavirus disease 2019 (COVID-19) is essential to construct public health interventions. Spatially referenced data can provide richer opportunities to understand the mechanism of the disease spread
