Mathematical Analysis of the Co-Dynamics of Dengue–COVID–19 Coinfection

Abstract This paper sought to analyze theoretically the co-dynamics of Dengue-COVID-19 coinfection with a mathematical model. The formulated model divides the human population into 12 compartment and the vector population (aedes aegypti) into 3 subpopulations. The qualitative examination of the Dengue and COVID-19 models shows that the DFE is locally asymptotically stable provided the corresponding reproduction numbers are less than unity. The COVID-19 sub-model is globally asymptotically stable as a lyapunov function was constructed to show its stability. On analysis, the coinfection model exhibited the phenomenon of backward bifurcation at Rcd = 1 and it was shown that two parameters were responsible for the existence of backward bifurcation in the coinfection model (6) and the include; 1) the probability of effective transmission of dengue from infectious humans to susceptible aedes aegypti vectors ( and (2) the susceptibility of COVID-19 infected individuals to dengue infection (. It was also discovered that an increase in the spread of COVID-19 pandemic does not significantly affect the spread of dengue infection in the community and an increase in the spread of dengue infection in the community will increase the pandemic of COVID-19.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-17
DOI
https://doi.org/10.5281/zenodo.15492551
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
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article

Mathematical Analysis of the Co-Dynamics of Dengue–COVID–19 Coinfection

Zenodo (CERN European Organization for Nuclear Research)
Mosquito-borne diseases and control
article

Mathematical Analysis of the Co-Dynamics of Dengue–COVID–19 Coinfection

article en

Abstract

Abstract This paper sought to analyze theoretically the co-dynamics of Dengue-COVID-19 coinfection with a mathematical model. The formulated model divides the human population into 12 compartment and the vector population (aedes aegypti) into 3 subpopulations. The qualitative examination of the Dengue and COVID-19 models shows that the DFE is locally asymptotically stable provided the corresponding reproduction numbers are less than unity. The COVID-19 sub-model is globally asymptotically stable as a lyapunov function was constructed to show its stability. On analysis, the coinfection model exhibited the phenomenon of backward bifurcation at Rcd = 1 and it was shown that two parameters were responsible for the existence of backward bifurcation in the coinfection model (6) and the include; 1) the probability of effective transmission of dengue from infectious humans to susceptible aedes aegypti vectors ( and (2) the susceptibility of COVID-19 infected individuals to dengue infection (. It was also discovered that an increase in the spread of COVID-19 pandemic does not significantly affect the spread of dengue infection in the community and an increase in the spread of dengue infection in the community will increase the pandemic of COVID-19.

Zenodo (CERN European Organization for Nuclear Research)
Delta State University (NG), Delta State University (US)
Good health and well-being
Openalex Percentile: Top 41%
Mosquito-borne diseases and control
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