Cargando…

How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model

In the United Kingdom, human immunodeficiency virus (HIV) transmission among men who have sex with men (MSM) is not under control, despite readily available treatment, highlighting the need to design a cost-effective combination prevention package. MSM report significantly reduced transmission risk...

Descripción completa

Detalles Bibliográficos
Autores principales: White, Peter J., Fox, Julie, Weber, Jonathan, Fidler, Sarah, Ward, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379968/
https://www.ncbi.nlm.nih.gov/pubmed/25381380
http://dx.doi.org/10.1093/infdis/jiu470
_version_ 1782364268720553984
author White, Peter J.
Fox, Julie
Weber, Jonathan
Fidler, Sarah
Ward, Helen
author_facet White, Peter J.
Fox, Julie
Weber, Jonathan
Fidler, Sarah
Ward, Helen
author_sort White, Peter J.
collection PubMed
description In the United Kingdom, human immunodeficiency virus (HIV) transmission among men who have sex with men (MSM) is not under control, despite readily available treatment, highlighting the need to design a cost-effective combination prevention package. MSM report significantly reduced transmission risk behavior following HIV diagnosis. To assess the effectiveness of HIV diagnosis in averting transmission during highly infectious primary HIV infection (PHI), we developed a stochastic individual-based model to calculate the number of HIV-transmission events expected to occur from a cohort of recently infected MSM with and those without the behavior changes reported after diagnosis. The model incorporates different types of sex acts, incorporates condom use, and distinguishes between regular and casual sex partners. The impact on transmission in the 3 months after infection depends on PHI duration and testing frequency. If PHI lasts for 3 months and testing is performed monthly, then behavior changes after diagnosis would have reduced estimated transmission events by 49%–52%, from 31–45 to 15–23 events; a shorter duration of PHI and/or a lower testing frequency reduces the number of infections averted. Diagnosing HIV during PHI can markedly reduce transmission by changing transmission-risk behavior. Because of the high infectivity but short duration of PHI, even short-term behavior change can significantly reduce transmission. Our quantification of the number of infections averted is an essential component of assessment of the cost-effectiveness of strategies to increase detection and diagnoses of PHI.
format Online
Article
Text
id pubmed-4379968
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-43799682015-04-15 How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model White, Peter J. Fox, Julie Weber, Jonathan Fidler, Sarah Ward, Helen J Infect Dis Developing and Applying Theoretical Frameworks in the Epidemiology of Sexually Transmitted Infections In the United Kingdom, human immunodeficiency virus (HIV) transmission among men who have sex with men (MSM) is not under control, despite readily available treatment, highlighting the need to design a cost-effective combination prevention package. MSM report significantly reduced transmission risk behavior following HIV diagnosis. To assess the effectiveness of HIV diagnosis in averting transmission during highly infectious primary HIV infection (PHI), we developed a stochastic individual-based model to calculate the number of HIV-transmission events expected to occur from a cohort of recently infected MSM with and those without the behavior changes reported after diagnosis. The model incorporates different types of sex acts, incorporates condom use, and distinguishes between regular and casual sex partners. The impact on transmission in the 3 months after infection depends on PHI duration and testing frequency. If PHI lasts for 3 months and testing is performed monthly, then behavior changes after diagnosis would have reduced estimated transmission events by 49%–52%, from 31–45 to 15–23 events; a shorter duration of PHI and/or a lower testing frequency reduces the number of infections averted. Diagnosing HIV during PHI can markedly reduce transmission by changing transmission-risk behavior. Because of the high infectivity but short duration of PHI, even short-term behavior change can significantly reduce transmission. Our quantification of the number of infections averted is an essential component of assessment of the cost-effectiveness of strategies to increase detection and diagnoses of PHI. Oxford University Press 2014-12-01 /pmc/articles/PMC4379968/ /pubmed/25381380 http://dx.doi.org/10.1093/infdis/jiu470 Text en © The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Developing and Applying Theoretical Frameworks in the Epidemiology of Sexually Transmitted Infections
White, Peter J.
Fox, Julie
Weber, Jonathan
Fidler, Sarah
Ward, Helen
How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title_full How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title_fullStr How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title_full_unstemmed How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title_short How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
title_sort how many hiv infections may be averted by targeting primary infection in men who have sex with men? quantification of changes in transmission-risk behavior, using an individual-based model
topic Developing and Applying Theoretical Frameworks in the Epidemiology of Sexually Transmitted Infections
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379968/
https://www.ncbi.nlm.nih.gov/pubmed/25381380
http://dx.doi.org/10.1093/infdis/jiu470
work_keys_str_mv AT whitepeterj howmanyhivinfectionsmaybeavertedbytargetingprimaryinfectioninmenwhohavesexwithmenquantificationofchangesintransmissionriskbehaviorusinganindividualbasedmodel
AT foxjulie howmanyhivinfectionsmaybeavertedbytargetingprimaryinfectioninmenwhohavesexwithmenquantificationofchangesintransmissionriskbehaviorusinganindividualbasedmodel
AT weberjonathan howmanyhivinfectionsmaybeavertedbytargetingprimaryinfectioninmenwhohavesexwithmenquantificationofchangesintransmissionriskbehaviorusinganindividualbasedmodel
AT fidlersarah howmanyhivinfectionsmaybeavertedbytargetingprimaryinfectioninmenwhohavesexwithmenquantificationofchangesintransmissionriskbehaviorusinganindividualbasedmodel
AT wardhelen howmanyhivinfectionsmaybeavertedbytargetingprimaryinfectioninmenwhohavesexwithmenquantificationofchangesintransmissionriskbehaviorusinganindividualbasedmodel