Epidemic models with differential susceptibility and stagedprogression and their dynamics

We formulate and study epidemic models with differential susceptibilities andstaged-progressions, based on systems of ordinary differential equations, fordisease transmission where the susceptibility of susceptible individuals varyand the infective individuals progress the disease gradually through...

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Main Authors: James M. Hyman, Jia Li
Format: Article
Language:English
Published: AIMS Press 2009-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.321
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author James M. Hyman
Jia Li
author_facet James M. Hyman
Jia Li
author_sort James M. Hyman
collection DOAJ
description We formulate and study epidemic models with differential susceptibilities andstaged-progressions, based on systems of ordinary differential equations, fordisease transmission where the susceptibility of susceptible individuals varyand the infective individuals progress the disease gradually through stageswith different infectiousness in each stage. We consider the contact rates tobe proportional to the total population or constant such that the infectionrates have a bilinear or standard form, respectively. We derive explicitformulas for the reproductive number $R_0$, and show that the infection-freeequilibrium is globally asymptotically stable if $R_01$.
format Article
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institution Kabale University
issn 1551-0018
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spelling doaj-art-4b244ef859724b9f8c60db464a3400122025-01-24T01:59:06ZengAIMS PressMathematical Biosciences and Engineering1551-00182009-02-016232133210.3934/mbe.2009.6.321Epidemic models with differential susceptibility and stagedprogression and their dynamicsJames M. Hyman0Jia Li1Theoretical Division, MS-B284, Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545Theoretical Division, MS-B284, Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545We formulate and study epidemic models with differential susceptibilities andstaged-progressions, based on systems of ordinary differential equations, fordisease transmission where the susceptibility of susceptible individuals varyand the infective individuals progress the disease gradually through stageswith different infectiousness in each stage. We consider the contact rates tobe proportional to the total population or constant such that the infectionrates have a bilinear or standard form, respectively. We derive explicitformulas for the reproductive number $R_0$, and show that the infection-freeequilibrium is globally asymptotically stable if $R_01$.https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.321reproductive numberstaged progressionglobal stability.endemicequilibriumdifferentialsusceptibility
spellingShingle James M. Hyman
Jia Li
Epidemic models with differential susceptibility and stagedprogression and their dynamics
Mathematical Biosciences and Engineering
reproductive number
staged progression
global stability.
endemicequilibrium
differentialsusceptibility
title Epidemic models with differential susceptibility and stagedprogression and their dynamics
title_full Epidemic models with differential susceptibility and stagedprogression and their dynamics
title_fullStr Epidemic models with differential susceptibility and stagedprogression and their dynamics
title_full_unstemmed Epidemic models with differential susceptibility and stagedprogression and their dynamics
title_short Epidemic models with differential susceptibility and stagedprogression and their dynamics
title_sort epidemic models with differential susceptibility and stagedprogression and their dynamics
topic reproductive number
staged progression
global stability.
endemicequilibrium
differentialsusceptibility
url https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.321
work_keys_str_mv AT jamesmhyman epidemicmodelswithdifferentialsusceptibilityandstagedprogressionandtheirdynamics
AT jiali epidemicmodelswithdifferentialsusceptibilityandstagedprogressionandtheirdynamics