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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7524| Characterizing parametric differences between the two waves of COVID-19 in India | |
| Arpit Omprakash | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| https://doi.org/10.1101/2021.06.29.21259698 | |
| https://www.medrxiv.org/content/10.1101/2021.06.29.21259698v1 | |
| The first case of COVID-19 in India was reported on January 30, 2020 [1]. The number of infections rose steeply and preventative measures such as lockdowns were implemented to slow down the spread of the disease. Infections peaked around mid-September the same year and the cases gradually started declining. Following the relaxation of lockdown and the appearance of mutant strains of the virus, a much severe second wave of COVID-19 emerged starting mid-February. For characterization and comparison of both the waves, a SIQR (Susceptible-Infected-Quarantined-Removed) model is used in this paper. The results indicate that a single patient can infect approximately 2.44 individuals in the population. The epidemic doubling time was calculated to be 11.8 days. It is predicted that the actual number of infected patients is grossly underestimated (by a factor of 16) by current testing methods. | |
| medRxiv and bioRxiv | |
| 03-07-2021 | |
| 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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