Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy.

ABSTRACT:

Background

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was first detected in China at the end of 2019 and it has since spread in few months all over the World. Italy was one of the first Western countries who faced the health emergency and is one of the countries most severely affected by the pandemic. The diffusion of Coronavirus disease 2019 (COVID-19) in Italy has followed a peculiar spatial pattern, however the attention of the scientific community has so far focussed almost exclusively on the prediction of the evolution of the disease over time.

Methods

Official freely available data about the number of infected at the finest possible level of spatial areal aggregation (Italian provinces) are used to model the spatio-temporal distribution of COVID-1

SUBMITTER: Giuliani D 

PROVIDER: S-EPMC7509829 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature