Programmatic Mapping: Providing Evidence for High Impact HIV Prevention Programs for Female Sex Workers.
HIV prevention
PLACE
female sex workers
key populations
microplanning
programmatic mapping
size estimation
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:
06 Jun 2019
06 Jun 2019
Historique:
received:
29
10
2018
accepted:
22
03
2019
revised:
08
03
2019
entrez:
8
6
2019
pubmed:
8
6
2019
medline:
8
6
2019
Statut:
epublish
Résumé
Programmatic mapping (PM) is a rapid and efficient mechanism to develop size estimates of key populations including female sex workers (FSWs) and geolocate them at physical locations in a systematic and scientific manner. At the macro level, this information forms the basis for allocating program resources, setting performance targets, and assess coverage. At a micro level, PM data provide specific information on hot spots, estimates of FSWs at those spots, and hot spot typology and days and times of operation, all of which provides targeted service delivery strategies. This information can provide a reliable platform to plan HIV prevention and treatment services to considerable scale and intensity. Above all, the entire PM process requires deep involvement of FSWs, which increases community ownership of the data and can lead to an increased uptake of services. Despite a few limitations, the approach is versatile and can be used in varied country contexts to generate important information about sex work and its dynamics. In this paper, we describe experiences and lessons learned from using evidence generated from PM of FSWs in multiple countries to develop HIV prevention programs at scale.
Identifiants
pubmed: 31172964
pii: v5i2e12636
doi: 10.2196/12636
pmc: PMC6592495
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e12636Informations de copyright
©Faran Emmanuel, Navindra Persaud, Sharon S Weir, Parinita Bhattacharjee, Shajy Isac. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.06.2019.
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