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Enumeration of Sex Workers in the Central Business District of Nairobi, Kenya

Overview of attention for article published in PLOS ONE, January 2013
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Title
Enumeration of Sex Workers in the Central Business District of Nairobi, Kenya
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054354
Pubmed ID
Authors

Joshua Kimani, Lyle R. McKinnon, Charles Wachihi, Judith Kusimba, Gloria Gakii, Sarah Birir, Mercy Muthui, Anthony Kariri, Festus K. Muriuki, Nicholas Muraguri, Helgar Musyoki, T. Blake Ball, Rupert Kaul, Lawrence Gelmon

Abstract

Accurate program planning for populations most at risk for HIV/STI acquisition requires knowledge of the size and location where these populations can best be reached. To obtain this information for sex workers operating at 137 hotspots in the central business district (CBD) in Nairobi, Kenya, we utilized a combined mapping and capture-recapture enumeration exercise. The majority of identified hotspots in this study were bars. Based on this exercise, we estimate that 6,904 male and female sex workers (95% confidence intervals, 6690 and 7118) were working nightly in the Nairobi CBD in April 2009. Wide ranges of captures per spot were obtained, suggesting that relatively few hot spots (18%) contain a relatively high proportion of the area's sex workers (65%). We provide geographic data including relatively short distances from hotspots to our dedicated sex worker outreach program in the CBD (mean<1 km), and clustering of hotspots within a relatively small area. Given the size covered and areas where sex work is likely taking place in Nairobi, the estimate is several times lower than what would be obtained if the entire metropolitan area was enumerated. These results have important practical and policy implications for enhancing HIV/STI prevention efforts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 2 4%
United Kingdom 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Master 8 17%
Student > Ph. D. Student 7 15%
Student > Doctoral Student 5 10%
Professor > Associate Professor 3 6%
Other 8 17%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 15 31%
Social Sciences 9 19%
Agricultural and Biological Sciences 5 10%
Economics, Econometrics and Finance 3 6%
Nursing and Health Professions 3 6%
Other 9 19%
Unknown 4 8%