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Programmatic Mapping: Providing Evidence for High Impact HIV Prevention Programs for Female Sex Workers.
Emmanuel, Faran; Persaud, Navindra; Weir, Sharon S; Bhattacharjee, Parinita; Isac, Shajy.
Afiliação
  • Emmanuel F; Centre for Global Public Health, Winnipeg, MB, Canada.
  • Persaud N; Family Health International 360, Washington DC, WA, United States.
  • Weir SS; University of North Carolina, Chapel Hill, NC, United States.
  • Bhattacharjee P; Partners for Health and Development in Africa, Nairobi, Kenya.
  • Isac S; Centre for Global Public Health, Winnipeg, MB, Canada.
JMIR Public Health Surveill ; 5(2): e12636, 2019 Jun 06.
Article em En | MEDLINE | ID: mdl-31172964
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Public Health Surveill Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Public Health Surveill Ano de publicação: 2019 Tipo de documento: Article