Mathematics in Applied Sciences and Engineering (Nov 2021)

An extended SEIARD model for COVID-19 vaccination in Mexico: analysis and forecast

  • Ángel G. C. Pérez,
  • David A. Oluyori

DOI
https://doi.org/10.5206/mase/14233
Journal volume & issue
Vol. 2, no. 4
pp. 273 – 289

Abstract

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In this study, we propose and analyse an extended SEIARD model with vaccination. We compute the control reproduction number $\mathcal{R}_c$ of our model and study the stability of equilibria. We show that the set of disease-free equilibria is locally asymptotically stable when $\mathcal{R}_c1$, 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.

Keywords