Literature DB >> 20869424

Modeling gonorrhea and HIV co-interaction.

S Mushayabasa1, J M Tchuenche, C P Bhunu, E Ngarakana-Gwasira.   

Abstract

A mathematical model was designed to explore the co-interaction of gonorrhea and HIV in the presence of antiretroviral therapy and gonorrhea treatment. Qualitative and comprehensive mathematical techniques have been used to analyse the model. The gonorrhea-only and HIV-only sub-models are first considered. Analytic expressions for the threshold parameter in each sub-model and the co-interaction model are derived. Global dynamics of this co-interaction shows that whenever the threshold parameter for the respective sub-models and co-interaction model is less than unity, the epidemics dies out, while the reverse results in persistence of the epidemics in the community. The impact of gonorrhea and its treatment on HIV dynamics is also investigated. Numerical simulations using a set of reasonable parameter values show that the two epidemics co-exists whenever their reproduction numbers exceed unity (with no competitive exclusion). Further, simulations of the full HIV-gonorrhea model also suggests that an increase in the number of individuals infected with gonorrhea (either singly or dually with HIV) in the presence of treatment results in a decrease in gonorrhea-only cases, dual-infection cases but increases the number of HIV-only cases.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20869424     DOI: 10.1016/j.biosystems.2010.09.008

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  4 in total

1.  Antibiotic resistance as collateral damage: the tragedy of the commons in a two-disease setting.

Authors:  Daozhou Gao; Thomas M Lietman; Travis C Porco
Journal:  Math Biosci       Date:  2015-02-26       Impact factor: 2.144

2.  Coinfection Dynamics of Two Diseases in a Single Host Population.

Authors:  Daozhou Gao; Travis C Porco; Shigui Ruan
Journal:  J Math Anal Appl       Date:  2016-04-19       Impact factor: 1.583

Review 3.  A Scoping Review of Drug Epidemic Models.

Authors:  Wei Wang; Sifen Lu; Haoxiang Tang; Biao Wang; Caiping Sun; Pai Zheng; Yi Bai; Zuhong Lu; Yulin Kang
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

4.  Changing risk behaviours and the HIV epidemic: a mathematical analysis in the context of treatment as prevention.

Authors:  Bojan Ramadanovic; Krisztina Vasarhelyi; Ali Nadaf; Ralf W Wittenberg; Julio S G Montaner; Evan Wood; Alexander R Rutherford
Journal:  PLoS One       Date:  2013-05-06       Impact factor: 3.240

  4 in total

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