A MATHEMATICAL MODEL FOR THE DYNAMICS OF COVID-19 AND MONKEYPOX CO-INFECTION CONSIDERING THE EFFECTS OF VACCINATION, QUARANTINE, AND REINFECTION

Authors

Keywords:

COVID-19; Monkeypox; Co-infection dynamics; Vaccination; Lyapunov functions; Mortality reduction.

Abstract

A deterministic compartment model for the co-infection of COVID-19 and Monkeypox taking into account vaccination, quarantine, treatment, and reinfection is introduced. It is demonstrated that the compartment model is mathematically well-posed. The disease-free equilibrium and local stability are obtained. The basic reproduction number $R_0$ is determined. The global stability result for the disease-free equilibrium is proven using the Castillo-Chavez and Song method. A Lyapunov function is introduced based on which it establishes global stability for endemic equilibrium. A critical modifying variable, $\eta [0,1].$ denoting the efficacy of treatment per session against mortality, is explored. Simulation outcomes indicate that low $\eta$ (i.e when $\eta = 0$, there is Effective treatment) decreases mortality but enhances long-term treatment efforts, and high $\eta$ (i.e when $\eta = 1$, there is Ineffective treatment) deteriorates survival rates among the treated category. Results obtained from subsequent simulations indicate that COVID-19 exerts a postponing effect on Monkeypox infections due to its influence on enhancing the reproduction number and boosting co-infections.
These findings bring out the need to incorporate vaccine, quarantine, and treatment against dual outbreaks of Covid-19 and Monkeypox.

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Published

2026-04-13

How to Cite

Eze, F. (2026). A MATHEMATICAL MODEL FOR THE DYNAMICS OF COVID-19 AND MONKEYPOX CO-INFECTION CONSIDERING THE EFFECTS OF VACCINATION, QUARANTINE, AND REINFECTION. Journal of Mathematical Analysis and Modeling, 7(1). Retrieved from https://www.sabapub.com/index.php/jmam/article/view/1915

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