Title |
Enumeration of Sex Workers in the Central Business District of Nairobi, Kenya
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Published in |
PLOS ONE, January 2013
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
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% |