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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8305| Scaling COVID-19 rates with population size in the United States | |
| Austin Cruz Brian Enquist Joseph Burger | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.10.10.23296807 | |
| https://www.medrxiv.org/content/10.1101/2023.10.10.23296807v1 | |
| We assessed Urban Scaling Theory using time-series data by quantifying allometric scaling relationships of coronavirus disease (COVID-19) cases, deaths, and demographic cohorts within and across three major variant waves of the pandemic (first, delta, omicron). Results indicate that with county-level population size in the United States, the burden of cases disproportionately impacted larger-sized counties. In contrast, the burden of deaths disproportionately impacted smaller counties, which may be partially due to a higher proportion of older adults who live in smaller counties. Future infectious disease burden across populations might be attenuated by applying Urban Scaling Theory to epidemiological efforts through identifying disease allometry and concomitant allocation of medical interventions | |
| bioRxiv | |
| 10-10-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Scaling COVID-19 rates with population size in the United States.pdf | 1.09 MB | Adobe PDF | Visualizar/Abrir |