Modeling COVID-19 Population Dynamics with a Viral Reservoir and Human Mobility

This article introduces and thoroughly examines a novel deterministic compartmental model of COVID-19 dynamics. The model uniquely incorporates compartments for symptomatic and asymptomatic individuals alongside an environmental reservoir for the pathogen. It also accounts for a steady inflow of infected visitors and a steady outflow from the removed class. The mathematical soundness of the model is established by identifying the invariant region and ensuring positivity of solutions. Notably, during surges of infected visitors, certain classes maintain positive minimum values. We analytically determine endemic equilibrium points and prove the global stability of the disease-free equilibrium. Sensitivity analysis highlights the significant roles of transmission rates and asymptomatic individuals in disease spread. Simulation results corroborate the theoretical findings and provide additional insights into the model’s predictive capabilities.

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Publication Details

Journal
AppliedMath
Published
2026-02-10
DOI
https://doi.org/10.3390/appliedmath6020027
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling COVID-19 Population Dynamics with a Viral Reservoir and Human Mobility

Mozart Umba Nsuami, Peter J. Witbooi, Sibaliwe Maku Vyambwera, Jené Mercia van Schalkwyk
AppliedMath
COVID-19 epidemiological studies
article

Modeling COVID-19 Population Dynamics with a Viral Reservoir and Human Mobility

Mozart Umba Nsuami, Peter J. Witbooi, Sibaliwe Maku Vyambwera, Jené Mercia van Schalkwyk
article en

Abstract

This article introduces and thoroughly examines a novel deterministic compartmental model of COVID-19 dynamics. The model uniquely incorporates compartments for symptomatic and asymptomatic individuals alongside an environmental reservoir for the pathogen. It also accounts for a steady inflow of infected visitors and a steady outflow from the removed class. The mathematical soundness of the model is established by identifying the invariant region and ensuring positivity of solutions. Notably, during surges of infected visitors, certain classes maintain positive minimum values. We analytically determine endemic equilibrium points and prove the global stability of the disease-free equilibrium. Sensitivity analysis highlights the significant roles of transmission rates and asymptomatic individuals in disease spread. Simulation results corroborate the theoretical findings and provide additional insights into the model’s predictive capabilities.

AppliedMathVol. 6(2)
University of the Western Cape (ZA)
Openalex Percentile: Top 63%
COVID-19 epidemiological studies
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