The Library
Geographic negative correlation of estimated incidence between first and second waves of Coronavirus Disease 2019 (COVID-19) in Italy
Tools
Tools
Tools
Carletti, Margherita and Pancrazi, Roberto (2021) Geographic negative correlation of estimated incidence between first and second waves of Coronavirus Disease 2019 (COVID-19) in Italy. Mathematics, 9 (2). 133. doi:10.3390/math9020133
|
PDF
WRAP-geographic-negative-correlation-estimated-incidence-first-second-waves-covid-19-italy-Pancrazi-2021.pdf - Published Version - Requires a PDF viewer. Download (299Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/math9020133
Abstract
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.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine R Medicine > RC Internal medicine |
||||||
| Divisions: | Faculty of Social Sciences > Economics | ||||||
| Library of Congress Subject Headings (LCSH): | COVID-19 (Disease), COVID-19 (Disease) -- Italy, COVID-19 (Disease) -- Italy -- Mathematical models, Communicable diseases -- Epidemiology -- Mathematical models | ||||||
| Journal or Publication Title: | Mathematics | ||||||
| Publisher: | MDPI | ||||||
| ISSN: | 2227-7390 | ||||||
| Official Date: | 9 January 2021 | ||||||
| Dates: |
|
||||||
| Volume: | 9 | ||||||
| Number: | 2 | ||||||
| Article Number: | 133 | ||||||
| DOI: | 10.3390/math9020133 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
