Critique and Lessons Learned from using Multiple Methods to Estimate Population Size of Men who have Sex with Men in Ghana

AIDS and Behavior

Volumn 19, Issue 1, 2015, Pages 16-23

  Quaye, Silas ^a   Fisher Raymond, H ^b,c   Atuahene, Kyeremeh ^d   Amenyah, Richard ^e   Aberle Grasse, John ^a   McFarland, Willi ^b,c   El Adas, Angela ^d  

^a CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c SAN FRANCISCO DEPARTMENT OF PUBLIC HEALTH   (United States)

^d GHANA AIDS COMMISSION   (Ghana)

^e UNAIDS Technical Support Facility   (South Africa)

Author keywords

Africa; Men who have sex with men; Population size estimates

Indexed keywords

ADULT; GHANA; HEALTH SURVEY; HIV INFECTIONS; HUMAN; INFORMATION PROCESSING; MALE; MALE HOMOSEXUALITY; POPULATION DENSITY; PREVALENCE; PROCEDURES; RISK FACTOR; SEXUAL BEHAVIOR; STATISTICS AND NUMERICAL DATA; VULNERABLE POPULATION;

ADULT; DATA COLLECTION; GHANA; HIV INFECTIONS; HOMOSEXUALITY, MALE; HUMANS; MALE; POPULATION DENSITY; POPULATION SURVEILLANCE; PREVALENCE; RISK FACTORS; SEXUAL BEHAVIOR; VULNERABLE POPULATIONS;

EID: 84925507820     PISSN: 10907165     EISSN: 15733254     Source Type: Journal    
DOI: 10.1007/s10461-014-0943-4     Document Type: Article

References (21)

1. Beyrer C, Karim A. The changing epidemiology of HIV in 2013. Curr Opin HIV AIDS. 2013;8:306–10.
2. UNAIDS. Global report: UNAIDS Report on the Global AIDS Epidemic. UNAIDS, Geneva. 2012.
3. Smith AD, Tapsoba P, Peshu N, Sanders EJ, Jaffe HW. Men who have sex with men and HIV/AIDS in sub-Saharan Africa. Lancet. 2009;374:416–22.
4. Joint United Nations Programme on HIV/AIDS. Practical guidelines for intensifying HIV prevention: towards universal access. Geneva 2007.
5. Gutierrez J, McPherson S, Fakoya A, Matheou A, Bertozzi SM. Community-based prevention leads to an increase in condom use and a reduction in sexually transmitted infections (STIs) among men who have sex with men (MSM) and female sex workers (FSW): the Frontiers Prevention Project (FPP) evaluation results. BMC Public Health. 2010;10:497–508.
6. Herbst JH, Beeker C, Mathew A, et al. The effectiveness of individual, group, and community level HIV behavioral risk reduction interventions for adult men who have sex with men: a systematic review. Am J Prev Med. 2007 Apr;32(4 Suppl):S38–67.
7. Johnston LG, Prybylski D, Raymond H. Fisher, Mirzazadeh A, Manopaiboon C, McFarland W. Incorporating the service multiplier method in respondent-driven sampling surveys to estimate the size of hidden and hard-to-reach populations: case studies from around the world. Sex Transm Dis. 2013;40(4):304–10.
8. FHI Impact, USAID, UNAIDS, WHO, UNDP. Estimating the size of populations at risk for HIV: issues and methods. Genova: UNAIDS; 2003. p. 03–36E.
9. Beyrer C, Baral SD, van Griensven F, et al. HIV in men who have sex with men: Global epidemiology of HIV infection in men who have sex with men. Lancet. 2012;380:367–77.
10. Aberle-Grasse J, McFarland W, El-Adas A, Quaye S, et al. HIV prevalence and correlates of infection among MSM: 4 areas in Ghana, the Ghana Men’s Health Study 2010–2011, in 20th Conference on Retroviral and Opportunistic Infections, March 3–6, 2013. Atlanta, GA: Ghana Men’s Health Study; 2013.
11. Okal J, Geibel S, Muraguri N, et al. 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. Sex Transm Infect. 2013;89:366–71.
12. Pietersma S, de Vries M, van den Akker-van ME. Domains of quality of life: results of a three-stage Delphi consensus procedure among patients, family of patients, clinicians, scientists and the general public. Qual Life Res 2013. doi: 10.1007/s11136-013-0578-3.
13. Cáceres C, Konda K, Pecheny M, Chatterjee A, Lyerla R. Estimating the number of men who have sex with men in low and middle income countries. Sex Transm Infect. 2006; 82(Suppl 3):iii3–iii9.
14. Faran E, Blanchard J, Zaheer HA, Reza T, Holte-McKenzie M. The HIV/AIDS Surveillance Project mapping approach: an innovative approach for mapping and size estimation for groups at a higher risk of HIV in Pakistan. AIDS. 2010;24(suppl 2):S77–84.
15. UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance. Estimating the Size of Populations Most at Risk to HIV Infection: Participant Manual. Genova: UNAIDS; 2010.
16. Lorenz J, Rauhut H, Schweitzer F, Helbing D. How social influence can undermine the wisdom of crowd effect. Proc Natl Acad Sci USA. 2011;108(22):9020–5.
17. Lee MD, Zhang S, Shi J. The wisdom of the crowd playing the price is right. Mem Cogn. 2011;39:914–23.
18. Hsu C, Sandford BA. The Delphi technique: making sense of consensus. Pract Assess Res Eval. 2007; 12(10). http://preoline.net/getvn. Accessed 18 Aug 2013.
19. Raymond HF, Bereknyei S, Berglas N, et al. Estimating population size, HIV prevalence and HIV incidence among men who have sex with men in San Francisco: A case example of triangulation methods. STI. 2013;89(5):383–7.
20. Muraguri N, Temmerman M, Geibel S. A decade of research involving men who have sex with men in sub-Saharan Africa: current knowledge and future directions. SAHARA-J 2012; 9(3):137–147.
21. UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance. Guidelines on Estimating the Size of Populations Most at Risk to HIV. Genova: WHO; 2010.