Literature DB >> 23761166

Estimates of the size of key populations at risk for HIV infection: men who have sex with men, female sex workers and injecting drug users in Nairobi, Kenya.

Jerry Okal1, Scott Geibel, Nicolas Muraguri, Helgar Musyoki, Waimar Tun, Dita Broz, David Kuria, Andrea Kim, Tom Oluoch, H Fisher Raymond.   

Abstract

OBJECTIVES: Size estimates of populations at higher risk for HIV infection are needed to help policy makers understand the scope of the epidemic and allocate appropriate resources. Population size estimates of men who have sex with men (MSM), female sex workers(FSW) and intravenous drug users (IDU) are few or non-existent in Nairobi, Kenya.
METHODS: We integrated three population size estimation methods into a behavioural surveillance survey among MSM, FSW and IDU in Nairobi during 2010–2011. These methods included the multiplier method, ‘Wisdom of the Crowds’ and an approach that drew on published literature. The median of the three estimates was hypothesised to be the most plausible size estimate with the other results forming the upper and lower plausible bounds. Data were shared with community representatives and stakeholders to finalise ‘best’ point estimates and plausible bounds based on the data collected in Nairobi, a priori expectations from the global literature and stakeholder input.
RESULTS: We estimate there are approximately 11 042 MSM with a plausible range of 10 000–22 222, 29 494 FSW with a plausible range of 10 000–54 467 FSW and approximately 6107 IDU and plausibly 5031–10 937 IDU living in Nairobi.
CONCLUSIONS: We employed multiple methods and used a wide range of data sources to estimate the size of three hidden populations in Nairobi, Kenya. These estimates may be useful to advocate for and to plan, implement and evaluate HIV prevention and care programmes for MSM, FSW and IDU. Surveillance activities should consider integrating population size estimation in their protocols.

Entities:  

Mesh:

Year:  2013        PMID: 23761166      PMCID: PMC4784698          DOI: 10.1136/sextrans-2013-051071

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  11 in total

1.  HIV surveillance among female sex workers.

Authors:  P D Ghys; C Jenkins; E Pisani
Journal:  AIDS       Date:  2001-04       Impact factor: 4.177

2.  Wisdom of the crowd.

Authors: 
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

Review 3.  Estimates of the number of female sex workers in different regions of the world.

Authors:  J Vandepitte; R Lyerla; G Dallabetta; F Crabbé; M Alary; A Buvé
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

4.  How many men who have sex with men and female sex workers live in El Salvador? Using respondent-driven sampling and capture-recapture to estimate population sizes.

Authors:  G Paz-Bailey; J O Jacobson; M E Guardado; F M Hernandez; A I Nieto; M Estrada; J Creswell
Journal:  Sex Transm Infect       Date:  2011-03-08       Impact factor: 3.519

5.  How social influence can undermine the wisdom of crowd effect.

Authors:  Jan Lorenz; Heiko Rauhut; Frank Schweitzer; Dirk Helbing
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-16       Impact factor: 11.205

Review 6.  Estimates of injecting drug users at the national and local level in developing and transitional countries, and gender and age distribution.

Authors:  C Aceijas; S R Friedman; H L F Cooper; L Wiessing; G V Stimson; M Hickman
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

7.  Statewide estimation of racial/ethnic populations of men who have sex with men in the U.S.

Authors:  Spencer Lieb; Stephen J Fallon; Samuel R Friedman; Daniel R Thompson; Gary J Gates; Thomas M Liberti; Robert M Malow
Journal:  Public Health Rep       Date:  2011 Jan-Feb       Impact factor: 2.792

8.  Global overview of injecting drug use and HIV infection among injecting drug users.

Authors:  Carmen Aceijas; Gerry V Stimson; Matthew Hickman; Tim Rhodes
Journal:  AIDS       Date:  2004-11-19       Impact factor: 4.177

Review 9.  Elevated risk for HIV infection among men who have sex with men in low- and middle-income countries 2000-2006: a systematic review.

Authors:  Stefan Baral; Frangiscos Sifakis; Farley Cleghorn; Chris Beyrer
Journal:  PLoS Med       Date:  2007-12       Impact factor: 11.069

Review 10.  Epidemiology of male same-sex behaviour and associated sexual health indicators in low- and middle-income countries: 2003-2007 estimates.

Authors:  C F Cáceres; K Konda; E R Segura; R Lyerla
Journal:  Sex Transm Infect       Date:  2008-08       Impact factor: 3.519

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  33 in total

1.  Estimating the Size of the MSM Population in Metro Vancouver, Canada, Using Multiple Methods and Diverse Data Sources.

Authors:  Ashleigh J Rich; Nathan J Lachowsky; Paul Sereda; Zishan Cui; Jason Wong; Stanley Wong; Jody Jollimore; Henry Fisher Raymond; Travis Salway Hottes; Eric A Roth; Robert S Hogg; David M Moore
Journal:  J Urban Health       Date:  2018-04       Impact factor: 3.671

2.  Approaches to Identify Unknown HIV-Positive Men Who Have Sex with Men in Nairobi, Kenya.

Authors:  Macland Njagi; Cristian J Chandler; Robert W S Coulter; Daniel E Siconolfi; Ronald D Stall; James E Egan
Journal:  AIDS Behav       Date:  2019-06

3.  Software Application Profile: The Anchored Multiplier calculator-a Bayesian tool to synthesize population size estimates.

Authors:  Paul D Wesson; Willi McFarland; Cong Charlie Qin; Ali Mirzazadeh
Journal:  Int J Epidemiol       Date:  2019-12-01       Impact factor: 7.196

Review 4.  "In the fell clutch of circumstance": HIV and men who have sex with men in sub-Saharan Africa.

Authors:  Geoffrey Jobson; Helen Struthers; James McIntyre
Journal:  Curr HIV/AIDS Rep       Date:  2015-03       Impact factor: 5.071

Review 5.  Concentrated HIV subepidemics in generalized epidemic settings.

Authors:  Frank Tanser; Tulio de Oliveira; Mathieu Maheu-Giroux; Till Bärnighausen
Journal:  Curr Opin HIV AIDS       Date:  2014-03       Impact factor: 4.283

Review 6.  Estimating the size of key populations: current status and future possibilities.

Authors:  Abu S Abdul-Quader; Andrew L Baughman; Wolfgang Hladik
Journal:  Curr Opin HIV AIDS       Date:  2014-03       Impact factor: 4.283

7.  Using Population-Size Estimation and Cross-sectional Survey Methods to Evaluate HIV Service Coverage Among Key Populations in Burkina Faso and Togo.

Authors:  Claire E Holland; Seni Kouanda; Marcel Lougué; Vincent Palokinam Pitche; Sheree Schwartz; Simplice Anato; Henri Gautier Ouedraogo; Jules Tchalla; Clarence S Yah; Laurent Kapesa; Sosthenes Ketende; Chris Beyrer; Stefan Baral
Journal:  Public Health Rep       Date:  2016-11-14       Impact factor: 2.792

8.  HIV Prevalence, Estimated Incidence, and Risk Behaviors Among People Who Inject Drugs in Kenya.

Authors:  Ann E Kurth; Charles M Cleland; Don C Des Jarlais; Helgar Musyoki; John A Lizcano; Nok Chhun; Peter Cherutich
Journal:  J Acquir Immune Defic Syndr       Date:  2015-12-01       Impact factor: 3.731

9.  Risk of sexual, physical and verbal assaults on men who have sex with men and female sex workers in coastal Kenya.

Authors:  Murugi Micheni; Sam Rogers; Elizabeth Wahome; Marianne Darwinkel; Elise van der Elst; Evans Gichuru; Susan M Graham; Eduard J Sanders; Adrian D Smith
Journal:  AIDS       Date:  2015-12       Impact factor: 4.177

10.  Global HIV epidemiology: A guide for strategies in prevention and care.

Authors:  Sten H Vermund
Journal:  Curr HIV/AIDS Rep       Date:  2014-06       Impact factor: 5.071

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