Literature DB >> 20210374

Modeling the potential impact of rectal microbicides to reduce hiv transmission in bathhouses.

Romulus Breban1, Ian McGowan, Chad Topaz, Elissa J Schwartz, Peter Anton, Sally Blower.   

Abstract

We evaluate the potential impact of rectal microbicides for reducing HIV transmission in bathhouses. A new mathematical model describing HIV transmission dynamics among men who have sex with men (MSM) in bathhouses is constructed and analyzed. The model incorporates key features affecting transmission, including sexual role behavior (insertive and receptive anal intercourse acts), biological transmissibility of HIV, frequency and efficacy of condom usage, and, most pertinently, frequency and efficacy of rectal microbicide usage. To evaluate the potential impact of rectal microbicide usage, we quantify the effect of rectal microbicides (ranging in efficacy from 10% to 90%) on reducing the number of HIV infections in the bathhouse. We conduct uncertainty analyses to assess the effect of variability in both biological and behavioral parameters. We find that even moderately effective rectal microbicides (if used in 10% to 50% of the sex acts) would substantially reduce transmission in bathhouses. For example, a 50% effective rectal microbicide (used in 50% of sex acts) would reduce the number of secondary infections by almost 13% at disease invasion. Our modeling analyses show that even moderately effective rectal microbicides could be very effective prevention tools for reducing transmission in bathhouses and also potentially limit the spread of HIV in the community.

Entities:  

Year:  2006        PMID: 20210374     DOI: 10.3934/mbe.2006.3.459

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


  9 in total

Review 1.  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

2.  The future role of rectal and vaginal microbicides to prevent HIV infection in heterosexual populations: implications for product development and prevention.

Authors:  Marie-Claude Boily; Dobromir Dimitrov; Salim S Abdool Karim; Benoît Mâsse
Journal:  Sex Transm Infect       Date:  2011-12       Impact factor: 3.519

3.  The slippery slope: lubricant use and rectal sexually transmitted infections: a newly identified risk.

Authors:  Pamina M Gorbach; Robert E Weiss; Edward Fuchs; Robin A Jeffries; Marjan Hezerah; Stephen Brown; Alen Voskanian; Edward Robbie; Peter Anton; Ross D Cranston
Journal:  Sex Transm Dis       Date:  2012-01       Impact factor: 2.830

4.  HIV transmission: time for translational studies to bridge the gap.

Authors:  Peter Anton; Betsy C Herold
Journal:  Sci Transl Med       Date:  2011-04-06       Impact factor: 17.956

5.  Impact of Pill Sharing on Drug Resistance Due to a Wide-Scale Oral Prep Intervention in Generalized Epidemics.

Authors:  Dobromir Dimitrov; Marie-Claude Boily; Benoît R Mâsse; Elizabeth R Brown
Journal:  J AIDS Clin Res       Date:  2012-07-08

6.  How Much Do We Know about Drug Resistance Due to PrEP Use? Analysis of Experts' Opinion and Its Influence on the Projected Public Health Impact.

Authors:  Dobromir T Dimitrov; Marie-Claude Boily; Timothy B Hallett; Jan Albert; Charles Boucher; John W Mellors; Deenan Pillay; David A M C van de Vijver
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

7.  A sex-role-preference model for HIV transmission among men who have sex with men in China.

Authors:  Jie Lou; Jianhong Wu; Li Chen; Yuhua Ruan; Yiming Shao
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

8.  Sampling and sensitivity analyses tools (SaSAT) for computational modelling.

Authors:  Alexander Hoare; David G Regan; David P Wilson
Journal:  Theor Biol Med Model       Date:  2008-02-27       Impact factor: 2.432

Review 9.  Analytic review of modeling studies of ARV Based PrEP interventions reveals strong influence of drug-resistance assumptions on the population-level effectiveness.

Authors:  Dobromir Dimitrov; Marie-Claude Boily; Elizabeth R Brown; Timothy B Hallett
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.