Data di Pubblicazione:
2020
Abstract:
The behaviour of SARS-CoV-2 virus is certainly one of the most challenging in contemporary world. Although the mathematical modelling of the virus has made relevant contributions, the unpredictable behaviour of the virus is still not fully understood. To identify some aspects of the virus elusive behaviour, we focused on the temporal characteristics of its course. We have analysed the latency trends the virus has realized worldwide, the outbreak of the hot spots, and the decreasing trends of the pandemic. We found that the spatio-temporal pandemic dynamics shows a complex behaviour. As with physical systems, these changes in the pandemic’s course, which we have called transitional stages of contagion, highlight shared characteristics in many countries. The main results of this work is that the pandemic progression rhythms have been clearly identified for each country, providing the processes and the stages at which the virus develops, thus giving important information on the activation of containment and control measures.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Betacoronavirus; COVID-19; Coronavirus Infections; Global Health; Humans; Machine Learning; Pandemics; Pneumonia; Viral; SARS-CoV-2; Spatio-Temporal Analysis
Elenco autori:
Bertacchini, F.; Bilotta, E.; Pantano, P. S.
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