A malaria model with partial immunity in humans

In this paper, we formulate a mathematical model for malaria transmission thatincludes incubation periods for both infected human hosts and mosquitoes. Weassume humans gain partial immunity after infection and divide the infected humanpopulation into subgroups based on their infection history. We de...

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Main Author: Jia Li
Format: Article
Language:English
Published: AIMS Press 2008-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.789
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author Jia Li
author_facet Jia Li
author_sort Jia Li
collection DOAJ
description In this paper, we formulate a mathematical model for malaria transmission thatincludes incubation periods for both infected human hosts and mosquitoes. Weassume humans gain partial immunity after infection and divide the infected humanpopulation into subgroups based on their infection history. We derive an explicitformula for the reproductive number of infection, $R_0$, to determine thresholdconditions whether the disease spreads or dies out. We show that there exists anendemic equilibrium if $R_0>1$. Using an numerical example, we demonstrate thatmodels having the same reproductive number but different numbers of progressionstages can exhibit different transient transmission dynamics.
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institution Kabale University
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spelling doaj-art-9cf9baa6e08b460ea04d96200ef1183d2025-01-24T01:58:42ZengAIMS PressMathematical Biosciences and Engineering1551-00182008-09-015478980110.3934/mbe.2008.5.789A malaria model with partial immunity in humansJia Li0Department of Mathematical Sciences, University of Alabama in Huntsville, Huntsville, AL 35899In this paper, we formulate a mathematical model for malaria transmission thatincludes incubation periods for both infected human hosts and mosquitoes. Weassume humans gain partial immunity after infection and divide the infected humanpopulation into subgroups based on their infection history. We derive an explicitformula for the reproductive number of infection, $R_0$, to determine thresholdconditions whether the disease spreads or dies out. We show that there exists anendemic equilibrium if $R_0>1$. Using an numerical example, we demonstrate thatmodels having the same reproductive number but different numbers of progressionstages can exhibit different transient transmission dynamics.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.789malariaendemic equilibriumcompartmentalmodelsreproductive number
spellingShingle Jia Li
A malaria model with partial immunity in humans
Mathematical Biosciences and Engineering
malaria
endemic equilibrium
compartmentalmodels
reproductive number
title A malaria model with partial immunity in humans
title_full A malaria model with partial immunity in humans
title_fullStr A malaria model with partial immunity in humans
title_full_unstemmed A malaria model with partial immunity in humans
title_short A malaria model with partial immunity in humans
title_sort malaria model with partial immunity in humans
topic malaria
endemic equilibrium
compartmentalmodels
reproductive number
url https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.789
work_keys_str_mv AT jiali amalariamodelwithpartialimmunityinhumans
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