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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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