Informing HIV Prevention Programs for Adolescent Girls and Young Women: A Modified Approach to Programmatic Mapping and Key Population Size Estimation

Eve Cheuk; Shajy Isac; Helgar Musyoki; Michael Pickles; Parinita Bhattacharjee; Peter Gichangi; Robert Lorway; Sharmistha Mishra; James Blanchard; Marissa Becker

doi:10.2196/11196

Informing HIV Prevention Programs for Adolescent Girls and Young Women: A Modified Approach to Programmatic Mapping and Key Population Size Estimation

JMIR Public Health Surveill. 2019 Apr 1;5(2):e11196. doi: 10.2196/11196.

Authors

Affiliations

¹ Centre for Global Public Health, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
² India Health Action Trust, Bangalore, India.
³ National AIDS and Sexually Transmitted Infection Control Programme, Ministry of Health, Nairobi, Kenya.
⁴ Partners for Health and Development in Africa, Nairobi, Kenya.
⁵ International Centre for Reproductive Health Kenya, Mombasa, Kenya.
⁶ Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
⁷ Department of Medicine, University of Toronto, Toronto, ON, Canada.

PMID: 30932868
PMCID: PMC6462887
DOI: 10.2196/11196

Abstract

Background: Standard programmatic mapping involves identifying locations where key populations meet, profiling of these locations (hotspots), and estimating the key population size. Information gained from this method has been used for HIV programming-resource allocation, program planning, service delivery, and monitoring and evaluation-for people who inject drugs, men who have sex with men, and female sex workers (FSWs). With an increasing focus on adolescent girls and young women (AGYW) as a priority population for HIV prevention, programs need to know the location of and how to effectively reach individuals who are at increased risk for HIV but were conventionally considered part of the general population. We hypothesize that AGYW who engage in transactional and casual sex also congregate at sex work hotspots to meet sex partners. Therefore, we adapted the standard programmatic mapping approach to understand the geographic distribution and population size of AGYW at increased HIV risk in Mombasa County, Kenya.

Objectives: The objectives are several-fold: (1) detail and compare the modified programmatic mapping approach used in this study to the standard approach, (2) estimate the number of young FSWs, (3) estimate the number of AGYW who congregate in sex work hotspots to meet sex partners other than clients, (4) estimate the overlap in sexual network in hotspots, (5) describe the distribution of sex work hotspots across Mombasa and its four subcounties, and (6) compare the distribution of hotspots that were known to the local HIV prevention program prior to this study and those newly identified.

Methods: The standard programmatic mapping approach was modified to estimate the population of young women aged 14 to 24 years who visit sex work hotspots in Mombasa to meet partners for commercial, transactional, and casual sex.

Results: We estimated that there were 11,777 FSWs (range 9265 to 14,290) in Mombasa in 2014 among whom 6127 (52.02%) were 14 to 24 years old. The population estimates for women aged 14 to 24 years who engaged in transactional and casual sex and congregated at the hotspots were 5348 (range 4185 to 6510) and 4160 (range 3194 to 5125), respectively. Of the 1025 validated sex work hotspots, 870 (84.88%) were locations also visited by women engaged in transactional and casual sex. Only 47 (4.58%) hotspots were exclusive sex work locations. The geographic and typological distribution of hotspots were significantly different between the four subcounties (P<.001). Of the 1025 hotspots, 419 (40.88%) were already known to the local HIV prevention program and 606 (59.12%) were newly identified.

Conclusions: Using the adapted programmatic mapping approach detailed in this study, our results show that HIV prevention programs tailored to AGYW can focus delivery of their interventions to sex work hotspots to reach subgroups that may be at increased risk for HIV.

Keywords: HIV prevention; adolescent girls and young women; casual sex; female sex workers; key population size estimation; programmatic mapping; sex work; transactional sex.

©Eve Cheuk, Shajy Isac, Helgar Musyoki, Michael Pickles, Parinita Bhattacharjee, Peter Gichangi, Robert Lorway, Sharmistha Mishra, James Blanchard, Marissa Becker. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 01.04.2019.