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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8727| Analyzing Covid-19 Data using SIRD Models | |
| Abhijit Chakraborty JiaYing Chen Amélie Desvars-Larrive Peter Klimek Erwin Flores Tames David Garcia Leonhard Horstmeyer Michaela Kaleta Jana Lasser Jenny Reddish Beate Conrady Johannes Wachs Peter Turchin | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.05.28.20115527 | |
| https://www.medrxiv.org/content/10.1101/2020.05.28.20115527v1 | |
| The goal of this analysis is to estimate the effects of the diverse government intervention measures implemented to mitigate the spread of the Covid-19 epidemic. We use a process model based on a compartmental epidemiological framework Susceptible-Infected-Recovered-Dead (SIRD). Analysis of case data with such a mechanism-based model has advantages over purely phenomenological approaches because the parameters of the SIRD model can be calibrated using prior knowledge. This approach can be used to investigate how governmental interventions have affected the Covid-19-related transmission and mortality rate during the epidemic. | |
| bioRxiv | |
| 30-05-2020 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Analyzing Covid-19 Data using SIRD Models.pdf | 2.59 MB | Adobe PDF | Visualizar/Abrir |