Literature DB >> 16868850

Mathematical study of a staged-progression HIV model with imperfect vaccine.

A B Gumel1, Connell C McCluskey, P van den Driessche.   

Abstract

A staged-progression HIV model is formulated and used to investigate the potential impact of an imperfect vaccine. The vaccine is assumed to have several desirable characteristics such as protecting against infection, causing bypass of the primary infection stage, and offering a disease-altering therapeutic effect (so that the vaccine induces reversal from the full blown AIDS stage to the asymptomatic stage). The model, which incorporates HIV transmission by individuals in the AIDS stage, is rigorously analyzed to gain insight into its qualitative features. Using a comparison theorem, the model with mass action incidence is shown to have a globally-asymptotically stable disease-free equilibrium whenever a certain threshold, known as the vaccination reproduction number, is less than unity. Furthermore, the model with mass action incidence has a unique endemic equilibrium whenever this threshold exceeds unity. Using the Li-Muldowney techniques for a reduced version of the mass action model, this endemic equilibrium is shown to be globally-asymptotically stable, under certain parameter restrictions. The epidemiological implications of these results are that an imperfect vaccine can eliminate HIV in a given community if it can reduce the reproduction number to a value less than unity, but the disease will persist otherwise. Furthermore, a future HIV vaccine that induces the bypass of primary infection amongst vaccinated individuals (who become infected) would decrease HIV prevalence, whereas a vaccine with therapeutic effect could have a positive or negative effect at the community level.

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Year:  2006        PMID: 16868850     DOI: 10.1007/s11538-006-9095-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  7 in total

1.  Stability of differential susceptibility and infectivity epidemic models.

Authors:  B Bonzi; A A Fall; A Iggidr; G Sallet
Journal:  J Math Biol       Date:  2010-02-11       Impact factor: 2.259

Review 2.  Mathematical models for the study of HIV spread and control amongst men who have sex with men.

Authors:  Narat Punyacharoensin; William John Edmunds; Daniela De Angelis; Richard Guy White
Journal:  Eur J Epidemiol       Date:  2011-09-20       Impact factor: 8.082

3.  Dynamic characteristic analysis of HIV mother to child transmission in China.

Authors:  Jun-Jie Wang; Kathleen Heather Reilly; Hua Han; Zhi-Hang Peng; Ning Wang
Journal:  Biomed Environ Sci       Date:  2010-10       Impact factor: 3.118

4.  Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa.

Authors:  Nathan Geffen; Alex Welte
Journal:  South Afr J HIV Med       Date:  2018-02-21       Impact factor: 2.744

5.  Epidemic models with discrete state structures.

Authors:  Suli Liu; Michael Y Li
Journal:  Physica D       Date:  2021-03-24       Impact factor: 2.300

6.  Modelling song popularity as a contagious process.

Authors:  Dora P Rosati; Matthew H Woolhouse; Benjamin M Bolker; David J D Earn
Journal:  Proc Math Phys Eng Sci       Date:  2021-09-22       Impact factor: 2.704

7.  Can we spend our way out of the AIDS epidemic? A world halting AIDS model.

Authors:  Robert J Smith; Jing Li; Richard Gordon; Jane M Heffernan
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

  7 in total

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