A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19
Description
CONCLUSION: By applying a Bayesian conditional auto-regressive model to COVID-19 case data we capture the underlying spatio-temporal trends present in the data. This enables us to isolate the main meteorological effects and make robust claims about
