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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7503| Global-scale analysis and longitudinal assessment of COVID-19 incidence in the first six months | |
| SUJOY GHOSH Saikat Sinha Roy | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| https://doi.org/10.1101/2021.03.31.21254739 | |
| https://www.medrxiv.org/content/10.1101/2021.03.31.21254739v1 | |
| Studies examining factors responsible for COVID-19 incidence have mostly focused at the national or sub-national level. Here we undertake an analysis of COVID-19 cases at the global scale to identify key factors associated with disease incidence. A regression modeling framework was used to identify key variables associated with COVID-19 incidence, and to assess longitudinal trends in reported incidence at the country-level. New COVID-19 case dynamics in response to lockdowns was characterized via cluster analysis. Eleven variables were found to be independently associated with COVID-19 infections (p<1e-05) and a 4-variable model adequately explained global variations in COVID-19 cases (p<0.01). COVID-19 case trajectories for most countries followed the log-logistic curve. Six predominant country clusters summarized the differences in individual country’s response to lockdowns. Globally, economic and meteorological factors are important determinants of COVID-19 incidence. Analysis of longitudinal trends and lockdown effects on COVID-19 caseloads further highlights important nuances in country-specific responses to the pandemic. These findings on the first six months of the pandemic has important implications for additional phases of the disease currently underway in many countries. | |
| medRxiv and bioRxiv | |
| 06-04-2021 | |
| Preimpreso | |
| www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Global scale analysis and longitudinal assessment of COVID 19 incidence in the first six months.pdf | 2.08 MB | Adobe PDF | Visualizar/Abrir |