Geographic Negative Correlation of Estimated Incidence between First and Second Waves of Coronavirus Disease 2019 (COVID-19) in Italy
| Autor: | Roberto Pancrazi, Margherita Carletti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
2019-20 coronavirus outbreak COVID-19 correlation between waves undetected infections Coronavirus disease 2019 (COVID-19) General Mathematics Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lcsh:Mathematics lcsh:QA1-939 Intensity (physics) 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Geography Statistics Computer Science (miscellaneous) Negative correlation RA Engineering (miscellaneous) 030217 neurology & neurosurgery RC Incidence (geometry) |
| Zdroj: | Mathematics, Vol 9, Iss 133, p 133 (2021) |
| ISSN: | 2227-7390 |
| Popis: | In this short communication, we investigate whether the intensity of the second wave of infection from SARS-CoV-2 that hit Italy in October–November–December 2020 is related to the intensity of the first wave, which took place in March–April 2020. We exploit the variation of the wave intensities across the 107 Italian provinces. Since the first wave has affected not only different regions, but also different provinces of the same region, at a heterogenous degree, this comparison allows useful insights to be drawn about the characteristics of the virus. We estimate a strong negative correlation between the new daily infections among provinces during the first and second waves and show that this result is robust to different specifications. This empirical result can be of inspiration to biologists on the nature of collective immunity underlying COVID-19. |
| Databáze: | OpenAIRE |
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