Novel Approaches for Estimating Female Sex Worker Population Size in Conflict-Affected South Sudan.
South Sudan
methods
population
sex workers
Journal
JMIR public health and surveillance
ISSN: 2369-2960
Titre abrégé: JMIR Public Health Surveill
Pays: Canada
ID NLM: 101669345
Informations de publication
Date de publication:
18 Mar 2019
18 Mar 2019
Historique:
received:
13
07
2018
accepted:
14
12
2018
revised:
25
11
2018
entrez:
19
3
2019
pubmed:
19
3
2019
medline:
19
3
2019
Statut:
epublish
Résumé
Limited data exist describing the population size of female sex workers (FSW) in South Sudan. A population size estimation exercise among FSW was undertaken in Juba and Nimule during the Eagle Survey. The study aimed to estimate the number of FSW in Juba and Nimule to inform resource allocation and service provision for FSW. We utilized service and unique object multipliers, and 3-source capture-recapture methods in conjunction with a respondent-driven sampling (RDS) survey to estimate the number of FSW in Juba and Nimule. For service multiplier, the number of FSW testing for HIV in 2015 (Juba) and 2016 (Nimule) was obtained from the LINKAGES program targeting FSW. Survey participants were asked whether they had been tested for HIV by LINKAGES during the relevant period. A total of 2 separate unique object distributions were conducted in Juba and Nimule. In Nimule, these were combined to produce a 3-source capture-recapture estimate. The exercise involved distribution of key chains and bangles to FSW, documentation of the number of those who received unique objects, and questions during RDS survey to assess whether participants received unique objects. In Juba, the service multiplier method yielded an estimate of 5800 (95% CI 4927-6673) FSW. The unique object estimate (key chain and RDS participation) yielded 5306 (95% CI 4673-5939). Another estimate using RDS participation and receipt of a bangle yielded a much lower estimate of 1863 (95% CI 1776-1951), as did a 2-source estimate of key chain and bangle (2120, 95% CI 2028-2211). A 3-source capture-recapture estimate could not be produced because aggregate rather than individual level data were collected during the third capture. The multiplier estimate using key chain and RDS participation was taken as the final population estimate for FSW in Juba, which constitutes more than 6% of the female population aged 15 to 64 years. In Nimule, the service multiplier method yielded an estimate of 9384 (95% CI 8511-10,257). The 2-source estimates for key chain and RDS yielded 6973 (95% CI 4759-9186); bangles and RDS yielded a higher estimate of 13,104 (95% CI 7101-19,106); key chains and bangles yielded a lower estimate of 1322 (95% CI 1223-1420). The 3-source capture-recapture method using Bayesian nonparametric latent-class model-based estimate yielded a population of 2694 (95% CI 1689-6945), and this was selected as the final estimate for Nimule, which constitutes nearly 40% of female population aged 15 to 64 years. The service and unique object multiplier, and 3-source capture-recapture methods were successfully used to estimate the number of FSW in Nimule, whereas service and unique object multiplier methods were successfully used in Juba. These methods yielded higher than previously estimated FSW population sizes. These estimates will inform resource allocation and advocacy efforts to support services for FSW.
Sections du résumé
BACKGROUND
BACKGROUND
Limited data exist describing the population size of female sex workers (FSW) in South Sudan. A population size estimation exercise among FSW was undertaken in Juba and Nimule during the Eagle Survey.
OBJECTIVE
OBJECTIVE
The study aimed to estimate the number of FSW in Juba and Nimule to inform resource allocation and service provision for FSW.
METHODS
METHODS
We utilized service and unique object multipliers, and 3-source capture-recapture methods in conjunction with a respondent-driven sampling (RDS) survey to estimate the number of FSW in Juba and Nimule. For service multiplier, the number of FSW testing for HIV in 2015 (Juba) and 2016 (Nimule) was obtained from the LINKAGES program targeting FSW. Survey participants were asked whether they had been tested for HIV by LINKAGES during the relevant period. A total of 2 separate unique object distributions were conducted in Juba and Nimule. In Nimule, these were combined to produce a 3-source capture-recapture estimate. The exercise involved distribution of key chains and bangles to FSW, documentation of the number of those who received unique objects, and questions during RDS survey to assess whether participants received unique objects.
RESULTS
RESULTS
In Juba, the service multiplier method yielded an estimate of 5800 (95% CI 4927-6673) FSW. The unique object estimate (key chain and RDS participation) yielded 5306 (95% CI 4673-5939). Another estimate using RDS participation and receipt of a bangle yielded a much lower estimate of 1863 (95% CI 1776-1951), as did a 2-source estimate of key chain and bangle (2120, 95% CI 2028-2211). A 3-source capture-recapture estimate could not be produced because aggregate rather than individual level data were collected during the third capture. The multiplier estimate using key chain and RDS participation was taken as the final population estimate for FSW in Juba, which constitutes more than 6% of the female population aged 15 to 64 years. In Nimule, the service multiplier method yielded an estimate of 9384 (95% CI 8511-10,257). The 2-source estimates for key chain and RDS yielded 6973 (95% CI 4759-9186); bangles and RDS yielded a higher estimate of 13,104 (95% CI 7101-19,106); key chains and bangles yielded a lower estimate of 1322 (95% CI 1223-1420). The 3-source capture-recapture method using Bayesian nonparametric latent-class model-based estimate yielded a population of 2694 (95% CI 1689-6945), and this was selected as the final estimate for Nimule, which constitutes nearly 40% of female population aged 15 to 64 years.
CONCLUSIONS
CONCLUSIONS
The service and unique object multiplier, and 3-source capture-recapture methods were successfully used to estimate the number of FSW in Nimule, whereas service and unique object multiplier methods were successfully used in Juba. These methods yielded higher than previously estimated FSW population sizes. These estimates will inform resource allocation and advocacy efforts to support services for FSW.
Identifiants
pubmed: 30882356
pii: v5i1e11576
doi: 10.2196/11576
pmc: PMC6441857
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e11576Subventions
Organisme : CGH CDC HHS
ID : U2G GH000678
Pays : United States
Informations de copyright
©Alfred Geoffrey Okiria, Alex Bolo, Victoria Achut, Golda Ceasar Arkangelo, Acaga Taban Ismail Michael, Joel Sua Katoro, Jennifer Wesson, Steve Gutreuter, Lee Hundley, Avi Hakim. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 18.03.2019.
Références
Sex Transm Dis. 2003 Aug;30(8):664-70
pubmed: 12897692
Sex Transm Infect. 2006 Jun;82 Suppl 3:iii18-25
pubmed: 16735288
Health Place. 2007 Jun;13(2):504-19
pubmed: 16815730
Trop Med Int Health. 2010 Dec;15(12):1537-43
pubmed: 21054693
AIDS Behav. 2014 Jan;18 Suppl 1:S25-31
pubmed: 23709254
Sex Transm Infect. 2013 Aug;89(5):366-71
pubmed: 23761166
PLoS One. 2014 Mar 03;9(3):e89180
pubmed: 24595029
Int J STD AIDS. 2015 Oct;26(11):810-4
pubmed: 25336306
AIDS Behav. 2015 Feb;19 Suppl 1:S16-23
pubmed: 25704987
Epidemiology. 2015 Nov;26(6):846-52
pubmed: 26258908
Biometrics. 2016 Dec;72(4):1246-1254
pubmed: 26954906
Public Health Rep. 2016 Nov;131(6):773-782
pubmed: 28123223