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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7155
An extended SEIARD model for COVID-19 vaccination in Mexico: analysis and forecast | |
ANGEL GUSTAVO CERVANTES PEREZ David Oluyori | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
https://doi.org/10.1101/2021.04.06.21255039 | |
In this study, we propose and analyze an extended SEIARD model with vaccination. We compute the control reproduction number ℛc of our model and study the stability of equilibria. We show that the set of disease-free equilibria is locally asymptotically stable when ℛc < 1 and unstable when ℛc > 1, and we provide a sufficient condition for its global stability. Furthermore, we perform numerical simulations using the reported data of COVID-19 infections and vaccination in Mexico to study the impact of different vaccination, transmission and efficacy rates on the dynamics of the disease. | |
medRxiv and bioRxiv | |
09-04-2021 | |
Preimpreso | |
https://www.medrxiv.org | |
Inglés | |
Epidemia COVID-19 | |
Consejeros Estudiantes | |
VIRUS RESPIRATORIOS | |
Versión publicada | |
publishedVersion - Versión publicada | |
Aparece en las colecciones: | Artículos científicos |
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