Cargando…

The influence of mobility among high-risk populations on HIV transmission in Western Kenya

Western Kenya suffers a highly endemic and also very heterogeneous epidemic of human immunodeficiency virus (HIV). Although female sex workers (FSW) and their male clients are known to be at high risk for HIV, HIV prevalence across regions in Western Kenya is not strongly correlated with the fractio...

Descripción completa

Detalles Bibliográficos
Autores principales: Bershteyn, Anna, Mutai, Kennedy K., Akullian, Adam N., Klein, Daniel J., Jewell, Britta L., Mwalili, Samuel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326217/
https://www.ncbi.nlm.nih.gov/pubmed/30839863
http://dx.doi.org/10.1016/j.idm.2018.04.001
_version_ 1783386263412277248
author Bershteyn, Anna
Mutai, Kennedy K.
Akullian, Adam N.
Klein, Daniel J.
Jewell, Britta L.
Mwalili, Samuel M.
author_facet Bershteyn, Anna
Mutai, Kennedy K.
Akullian, Adam N.
Klein, Daniel J.
Jewell, Britta L.
Mwalili, Samuel M.
author_sort Bershteyn, Anna
collection PubMed
description Western Kenya suffers a highly endemic and also very heterogeneous epidemic of human immunodeficiency virus (HIV). Although female sex workers (FSW) and their male clients are known to be at high risk for HIV, HIV prevalence across regions in Western Kenya is not strongly correlated with the fraction of women engaged in commercial sex. An agent-based network model of HIV transmission, geographically stratified at the county level, was fit to the HIV epidemic, scale-up of interventions, and populations of FSW in Western Kenya under two assumptions about the potential mobility of FSW clients. In the first, all clients were assumed to be resident in the same geographies as their interactions with FSW. In the second, some clients were considered non-resident and engaged only in interactions with FSW, but not in longer-term non-FSW partnerships in these geographies. Under both assumptions, the model successfully reconciled disparate geographic patterns of FSW and HIV prevalence. Transmission patterns in the model suggest a greater role for FSW in local transmission when clients were resident to the counties, with 30.0% of local HIV transmissions attributable to current and former FSW and clients, compared to 21.9% when mobility of clients was included. Nonetheless, the overall epidemic drivers remained similar, with risky behavior in the general population dominating transmission in high-prevalence counties. Our modeling suggests that co-location of high-risk populations and generalized epidemics can further amplify the spread of HIV, but that large numbers of formal FSW and clients are not required to observe or mechanistically explain high HIV prevalence in the general population.
format Online
Article
Text
id pubmed-6326217
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher KeAi Publishing
record_format MEDLINE/PubMed
spelling pubmed-63262172019-01-18 The influence of mobility among high-risk populations on HIV transmission in Western Kenya Bershteyn, Anna Mutai, Kennedy K. Akullian, Adam N. Klein, Daniel J. Jewell, Britta L. Mwalili, Samuel M. Infect Dis Model Original Research Article Western Kenya suffers a highly endemic and also very heterogeneous epidemic of human immunodeficiency virus (HIV). Although female sex workers (FSW) and their male clients are known to be at high risk for HIV, HIV prevalence across regions in Western Kenya is not strongly correlated with the fraction of women engaged in commercial sex. An agent-based network model of HIV transmission, geographically stratified at the county level, was fit to the HIV epidemic, scale-up of interventions, and populations of FSW in Western Kenya under two assumptions about the potential mobility of FSW clients. In the first, all clients were assumed to be resident in the same geographies as their interactions with FSW. In the second, some clients were considered non-resident and engaged only in interactions with FSW, but not in longer-term non-FSW partnerships in these geographies. Under both assumptions, the model successfully reconciled disparate geographic patterns of FSW and HIV prevalence. Transmission patterns in the model suggest a greater role for FSW in local transmission when clients were resident to the counties, with 30.0% of local HIV transmissions attributable to current and former FSW and clients, compared to 21.9% when mobility of clients was included. Nonetheless, the overall epidemic drivers remained similar, with risky behavior in the general population dominating transmission in high-prevalence counties. Our modeling suggests that co-location of high-risk populations and generalized epidemics can further amplify the spread of HIV, but that large numbers of formal FSW and clients are not required to observe or mechanistically explain high HIV prevalence in the general population. KeAi Publishing 2018-04-23 /pmc/articles/PMC6326217/ /pubmed/30839863 http://dx.doi.org/10.1016/j.idm.2018.04.001 Text en © 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Bershteyn, Anna
Mutai, Kennedy K.
Akullian, Adam N.
Klein, Daniel J.
Jewell, Britta L.
Mwalili, Samuel M.
The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title_full The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title_fullStr The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title_full_unstemmed The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title_short The influence of mobility among high-risk populations on HIV transmission in Western Kenya
title_sort influence of mobility among high-risk populations on hiv transmission in western kenya
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326217/
https://www.ncbi.nlm.nih.gov/pubmed/30839863
http://dx.doi.org/10.1016/j.idm.2018.04.001
work_keys_str_mv AT bershteynanna theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT mutaikennedyk theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT akullianadamn theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT kleindanielj theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT jewellbrittal theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT mwalilisamuelm theinfluenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT bershteynanna influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT mutaikennedyk influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT akullianadamn influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT kleindanielj influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT jewellbrittal influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya
AT mwalilisamuelm influenceofmobilityamonghighriskpopulationsonhivtransmissioninwesternkenya