Literature DB >> 19364156

Mathematical analysis of a model for HIV-malaria co-infection.

Zindoga Mukandavire1, Abba B Gumel, Winston Garira, Jean Michel Tchuenche.   

Abstract

A deterministic model for the co-interaction of HIV and malaria in a community is presented and rigorously analyzed. Two sub-models, namely the HIV-only and malaria-only sub-models, are considered first of all. Unlike the HIV-only sub-model, which has a globally-asymptotically stable disease-free equilibrium whenever the associated reproduction number is less than unity, the malaria-only sub-model undergoes the phenomenon of backward bifurcation, where a stable disease-free equilibrium co-exists with a stable endemic equilibrium, for a certain range of the associated reproduction number less than unity. Thus, for malaria, the classical requirement of having the associated reproduction number to be less than unity, although necessary, is not sufficient for its elimination. It is also shown, using centre manifold theory, that the full HIV-malaria co-infection model undergoes backward bifurcation. Simulations of the full HIV-malaria model show that the two diseases co-exist whenever their reproduction numbers exceed unity (with no competitive exclusion occurring). Further, the reduction in sexual activity of individuals with malaria symptoms decreases the number of new cases of HIV and the mixed HIV-malaria infection while increasing the number of malaria cases. Finally, these simulations show that the HIV-induced increase in susceptibility to malaria infection has marginal effect on the new cases of HIV and malaria but increases the number of new cases of the dual HIV-malaria infection.

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Year:  2009        PMID: 19364156     DOI: 10.3934/mbe.2009.6.333

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  14 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.  Analysis of recruitment and industrial human resources management for optimal productivity in the presence of the HIV/AIDS epidemic.

Authors:  Kazeem O Okosun; Oluwole D Makinde; Isaac Takaidza
Journal:  J Biol Phys       Date:  2012-11-01       Impact factor: 1.365

3.  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

4.  The Implications of HIV Treatment on the HIV-Malaria Coinfection Dynamics: A Modeling Perspective.

Authors:  F Nyabadza; B T Bekele; M A Rúa; D M Malonza; N Chiduku; M Kgosimore
Journal:  Biomed Res Int       Date:  2015-09-06       Impact factor: 3.411

5.  Optimal control of a fractional order model for the COVID - 19 pandemic.

Authors:  Bashir Abdullahi Baba; Bulent Bilgehan
Journal:  Chaos Solitons Fractals       Date:  2021-01-29       Impact factor: 5.944

6.  Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model.

Authors:  M S Goudiaby; L D Gning; M L Diagne; Ben M Dia; H Rwezaura; J M Tchuenche
Journal:  Inform Med Unlocked       Date:  2022-01-15

7.  Mathematical Analysis of the Ross-Macdonald Model with Quarantine.

Authors:  Xiulei Jin; Shuwan Jin; Daozhou Gao
Journal:  Bull Math Biol       Date:  2020-04-02       Impact factor: 1.758

8.  Study on Prediction Model of HIV Incidence Based on GRU Neural Network Optimized by MHPSO.

Authors:  Xiaoming Li; Xianghui Xu; Jie Wang; Jing Li; Sheng Qin; Juxiang Yuan
Journal:  IEEE Access       Date:  2020-03-10       Impact factor: 3.476

9.  Mathematical modeling of the HIV/Kaposi's sarcoma coinfection dynamics in areas of high HIV prevalence.

Authors:  E Lungu; T J Massaro; E Ndelwa; N Ainea; S Chibaya; N J Malunguza
Journal:  Comput Math Methods Med       Date:  2013-11-17       Impact factor: 2.238

Review 10.  Malaria and HIV coinfection in sub-Saharan Africa: prevalence, impact, and treatment strategies.

Authors:  Tebit E Kwenti
Journal:  Res Rep Trop Med       Date:  2018-07-27
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