A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
Abstract The COVID-19 epidemic has raised major issues with regard to modelling and forecasting outcomes such as cases, deaths and hospitalisations. In particular, the forecasting of area-specific counts of infectious disease poses problems when counts are changing rapidly and there are infection hotspots, as in epidemic situations. Such forecasts are …