Literature DB >> 12120868

The effect of density-dependent treatment and behavior change on the dynamics of HIV transmission.

Y H Hsieh1, S P Sheu.   

Abstract

In this work, we propose a model for heterosexual transmission of HIV/AIDS in a population of varying size with an intervention program in which treatment and/or behavior change of the infecteds occur as an increasing function of the density of the infected class in the population. This assumption has socio-economic implications which is important for public health considerations since density-dependent treatment/behavior change may be more cost-saving than a program where treatment/behavior change occurs linearly with respect to the number of infecteds. We will make use of the conservation law of total sexual contacts which enables us to reduce the two-sex model to a simpler one-sex formulation. Analytical results will be given. Unlike a similar model with linear treatment/behavior change in Hsieh (1996) where conditions were obtained for the eradication of disease, we will show that density-dependent treatment/behavior change cannot eradicate the disease if the disease is able to persist without any treatment/behavior change. This work demonstrates the need to further understand how treatment/behavior change occurs in a society with varying population.

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Year:  2001        PMID: 12120868     DOI: 10.1007/s002850100087

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  3 in total

1.  Frequency-dependent incidence in models of sexually transmitted diseases: portrayal of pair-based transmission and effects of illness on contact behaviour.

Authors:  James O Lloyd-Smith; Wayne M Getz; Hans V Westerhoff
Journal:  Proc Biol Sci       Date:  2004-03-22       Impact factor: 5.349

2.  Sex-structured HIV/AIDS model to analyse the effects of condom use with application to Zimbabwe.

Authors:  Z Mukandavire; W Garira
Journal:  J Math Biol       Date:  2007-01-11       Impact factor: 2.259

3.  Trace the History of HIV and Predict Its Future through Genetic Sequences.

Authors:  Zhen Wang; Zhiyuan Zhang; Chen Zhang; Xin Jin; Jianjun Wu; Bin Su; Yuelan Shen; Yuhua Ruan; Hui Xing; Jie Lou
Journal:  Trop Med Infect Dis       Date:  2022-08-17
  3 in total

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