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Mapping and size estimates of female sex workers in Cameroon: Toward informed policy for design and implementation in the national HIV program

Due to high HIV prevalence among Female Sex Workers (FSWs) in Cameroon (36.5%), this population is especially vulnerable to HIV acquisition and transmission nationwide. Though being prioritized in the national HIV response, it would be relevant to generate statistics on the number of FSWs in order t...

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Published in:PloS one 2019-02, Vol.14 (2), p.e0212315-e0212315
Main Authors: Billong, Serge C, Nguefack-Tsague, Georges, Fokam, Joseph, Emmanuel, Faran, Isac, Shajy, Fodjo, Raoul A T, Ngoufack, Marie Nicole, Kwedi, Sylvie, Moukam, Laure Vartan, Tchetmi, Thomas, Tapka, Vincent K, Ndjolo, Alexis, Shubber, Zara, Cheikh, Nejma, Blanchard, James, Elat, Jean-Bosco N, Mziray, Elizabeth N
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cited_by cdi_FETCH-LOGICAL-c692t-3b0dfdcac9abf9e4786f13298cd1f030d8305c4ffcdb3cc1a59671a07f4128b03
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creator Billong, Serge C
Nguefack-Tsague, Georges
Fokam, Joseph
Emmanuel, Faran
Isac, Shajy
Fodjo, Raoul A T
Ngoufack, Marie Nicole
Kwedi, Sylvie
Moukam, Laure Vartan
Tchetmi, Thomas
Tapka, Vincent K
Ndjolo, Alexis
Shubber, Zara
Cheikh, Nejma
Blanchard, James
Elat, Jean-Bosco N
Mziray, Elizabeth N
description Due to high HIV prevalence among Female Sex Workers (FSWs) in Cameroon (36.5%), this population is especially vulnerable to HIV acquisition and transmission nationwide. Though being prioritized in the national HIV response, it would be relevant to generate statistics on the number of FSWs in order to guide HIV interventions among FSWs. Our objective was to estimate the size of FSWs within hotspots of Cameroon. A cross-sectional study was conducted from September-November 2015 in selected cities in Cameroon: Bafoussam, Bamenda, Bertoua, Buea, Douala, Kribi, Limbé, and Yaoundé. A programmatic mapping was used, consisting of interviews with secondary key informants (KI) to identify hotspots of FSWs and their respective estimated numbers. Validation of size estimates was done by interviews with FSW at each hotspot. Size estimations in the councils mapped were extended to others not mapped using a Poisson regression model. A total of 2,194 hotspots were identified: Douala (760), Yaoundé (622), Bamenda (263), Bafoussam (194), Kribi (154), Bertoua (140), Limbé (35), and Buea (26). The estimated total number (range) of FSWs was 21,124 (16,079-26,170), distributed per city as follows: Douala 7,557 (5,550-9,364), Yaoundé 6,596 (4,712-8,480), Bafoussam 2,458 (1,994-2,923), Bamenda 1,975 (1,605-2,345), Kribi 1,121 (832-1,408), Bertoua 1,044 (891-1,198), Buea 225 (185-266), and Limbé 148 (110-148). The variability of estimates among cities was also observed within the councils of each city. The national predicted estimate of FSW population was 112,580 (103,436-121,723), covering all councils of Cameroon. An estimate of 1.91% (112,580/5,881,526; 0.47%-3.36%) adult female population in Cameroon could be sex workers. There are considerable numbers of FSW in major cities in Cameroon. There is a need to prioritize interventions for HIV prevention toward this population in order to limit the burden of HIV sexual transmission nationwide.
doi_str_mv 10.1371/journal.pone.0212315
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Though being prioritized in the national HIV response, it would be relevant to generate statistics on the number of FSWs in order to guide HIV interventions among FSWs. Our objective was to estimate the size of FSWs within hotspots of Cameroon. A cross-sectional study was conducted from September-November 2015 in selected cities in Cameroon: Bafoussam, Bamenda, Bertoua, Buea, Douala, Kribi, Limbé, and Yaoundé. A programmatic mapping was used, consisting of interviews with secondary key informants (KI) to identify hotspots of FSWs and their respective estimated numbers. Validation of size estimates was done by interviews with FSW at each hotspot. Size estimations in the councils mapped were extended to others not mapped using a Poisson regression model. A total of 2,194 hotspots were identified: Douala (760), Yaoundé (622), Bamenda (263), Bafoussam (194), Kribi (154), Bertoua (140), Limbé (35), and Buea (26). The estimated total number (range) of FSWs was 21,124 (16,079-26,170), distributed per city as follows: Douala 7,557 (5,550-9,364), Yaoundé 6,596 (4,712-8,480), Bafoussam 2,458 (1,994-2,923), Bamenda 1,975 (1,605-2,345), Kribi 1,121 (832-1,408), Bertoua 1,044 (891-1,198), Buea 225 (185-266), and Limbé 148 (110-148). The variability of estimates among cities was also observed within the councils of each city. The national predicted estimate of FSW population was 112,580 (103,436-121,723), covering all councils of Cameroon. An estimate of 1.91% (112,580/5,881,526; 0.47%-3.36%) adult female population in Cameroon could be sex workers. There are considerable numbers of FSW in major cities in Cameroon. 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numerical data</topic><topic>Sexual behavior</topic><topic>Sexual transmission</topic><topic>Sexually transmitted diseases</topic><topic>Statistical analysis</topic><topic>STD</topic><topic>Tropical diseases</topic><topic>Workers</topic><topic>Working groups</topic><topic>Working women</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Billong, Serge C</creatorcontrib><creatorcontrib>Nguefack-Tsague, Georges</creatorcontrib><creatorcontrib>Fokam, Joseph</creatorcontrib><creatorcontrib>Emmanuel, Faran</creatorcontrib><creatorcontrib>Isac, Shajy</creatorcontrib><creatorcontrib>Fodjo, Raoul A T</creatorcontrib><creatorcontrib>Ngoufack, Marie Nicole</creatorcontrib><creatorcontrib>Kwedi, Sylvie</creatorcontrib><creatorcontrib>Moukam, Laure Vartan</creatorcontrib><creatorcontrib>Tchetmi, Thomas</creatorcontrib><creatorcontrib>Tapka, Vincent K</creatorcontrib><creatorcontrib>Ndjolo, Alexis</creatorcontrib><creatorcontrib>Shubber, Zara</creatorcontrib><creatorcontrib>Cheikh, Nejma</creatorcontrib><creatorcontrib>Blanchard, James</creatorcontrib><creatorcontrib>Elat, Jean-Bosco N</creatorcontrib><creatorcontrib>Mziray, Elizabeth N</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Billong, Serge C</au><au>Nguefack-Tsague, Georges</au><au>Fokam, Joseph</au><au>Emmanuel, Faran</au><au>Isac, Shajy</au><au>Fodjo, Raoul A T</au><au>Ngoufack, Marie Nicole</au><au>Kwedi, Sylvie</au><au>Moukam, Laure Vartan</au><au>Tchetmi, Thomas</au><au>Tapka, Vincent K</au><au>Ndjolo, Alexis</au><au>Shubber, Zara</au><au>Cheikh, Nejma</au><au>Blanchard, James</au><au>Elat, Jean-Bosco N</au><au>Mziray, Elizabeth N</au><au>Page, Kimberly A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping and size estimates of female sex workers in Cameroon: Toward informed policy for design and implementation in the national HIV program</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-02-26</date><risdate>2019</risdate><volume>14</volume><issue>2</issue><spage>e0212315</spage><epage>e0212315</epage><pages>e0212315-e0212315</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Due to high HIV prevalence among Female Sex Workers (FSWs) in Cameroon (36.5%), this population is especially vulnerable to HIV acquisition and transmission nationwide. Though being prioritized in the national HIV response, it would be relevant to generate statistics on the number of FSWs in order to guide HIV interventions among FSWs. Our objective was to estimate the size of FSWs within hotspots of Cameroon. A cross-sectional study was conducted from September-November 2015 in selected cities in Cameroon: Bafoussam, Bamenda, Bertoua, Buea, Douala, Kribi, Limbé, and Yaoundé. A programmatic mapping was used, consisting of interviews with secondary key informants (KI) to identify hotspots of FSWs and their respective estimated numbers. Validation of size estimates was done by interviews with FSW at each hotspot. Size estimations in the councils mapped were extended to others not mapped using a Poisson regression model. A total of 2,194 hotspots were identified: Douala (760), Yaoundé (622), Bamenda (263), Bafoussam (194), Kribi (154), Bertoua (140), Limbé (35), and Buea (26). The estimated total number (range) of FSWs was 21,124 (16,079-26,170), distributed per city as follows: Douala 7,557 (5,550-9,364), Yaoundé 6,596 (4,712-8,480), Bafoussam 2,458 (1,994-2,923), Bamenda 1,975 (1,605-2,345), Kribi 1,121 (832-1,408), Bertoua 1,044 (891-1,198), Buea 225 (185-266), and Limbé 148 (110-148). The variability of estimates among cities was also observed within the councils of each city. The national predicted estimate of FSW population was 112,580 (103,436-121,723), covering all councils of Cameroon. An estimate of 1.91% (112,580/5,881,526; 0.47%-3.36%) adult female population in Cameroon could be sex workers. There are considerable numbers of FSW in major cities in Cameroon. There is a need to prioritize interventions for HIV prevention toward this population in order to limit the burden of HIV sexual transmission nationwide.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30807616</pmid><doi>10.1371/journal.pone.0212315</doi><tpages>e0212315</tpages><orcidid>https://orcid.org/0000-0002-1501-2763</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1932-6203
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subjects Acquired immune deficiency syndrome
Adolescent
Adult
AIDS
Biology and Life Sciences
Cameroon - epidemiology
Cities
Cities and towns
Councils
Cross-Sectional Studies
Demographic aspects
Disease control
Disease hot spots
Disease prevention
Disease transmission
Diseases and pests
Drug resistance
Estimates
Female
Health Plan Implementation - legislation & jurisprudence
Health Policy
Health surveillance
HIV
HIV - isolation & purification
HIV infections
HIV Infections - epidemiology
HIV Infections - transmission
Human immunodeficiency virus
Humans
Informers
Intelligence gathering
Male
Mapping
Medicine
Medicine and Health Sciences
Methods
Middle Aged
Nutrition
People and Places
Poisson density functions
Population
Prevalence
Prevention
Prostitutes
Prostitution
Public health
Regression models
Research and Analysis Methods
Risk factors
Sex
Sex industry
Sex oriented businesses
Sex Workers - statistics & numerical data
Sexual behavior
Sexual transmission
Sexually transmitted diseases
Statistical analysis
STD
Tropical diseases
Workers
Working groups
Working women
Young Adult
title Mapping and size estimates of female sex workers in Cameroon: Toward informed policy for design and implementation in the national HIV program
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