Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal

The World Health Organization declared COVID-19 as a pandemic disease on 12 March 2020. Currently, this caused by the SARS-CoV-2 virus remains one of biggest public health problems in world. Thus, it is essential to apply methods that enable better understanding diffusion processes, not only at spatial level but also spatiotemporal one. To end, we tried understand distribution pathology continental Portugal municipal and comprehend how mobility influences transmission. We used autocorrelation indices such Getis-Ord (with Euclidian distance commuting values), Local Moran, new hybrid approach. Likewise, aiming identify patterns propagation using Man–Kendall statistics, found most hotspots infected individuals occur municipalities metropolitan areas. analysis identified oscillating hotspots.