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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Sex+Transm+Infect
2013 ; 89
(5
): 366-71
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
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
#MMPMID23761166
Okal J
; Geibel S
; Muraguri N
; Musyoki H
; Tun W
; Broz D
; Kuria D
; Kim A
; Oluoch T
; Raymond HF
Sex Transm Infect
2013[Aug]; 89
(5
): 366-71
PMID23761166
show ga
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.
|Adolescent
[MESH]
|Adult
[MESH]
|Condoms/*statistics & numerical data
[MESH]
|Data Collection
[MESH]
|Female
[MESH]
|HIV Infections/*epidemiology/prevention & control
[MESH]
|Homosexuality, Male/*statistics & numerical data
[MESH]
|Humans
[MESH]
|Kenya/epidemiology
[MESH]
|Male
[MESH]
|Policy Making
[MESH]
|Population Surveillance
[MESH]
|Prevalence
[MESH]
|Risk Factors
[MESH]
|Sex Workers/*statistics & numerical data
[MESH]
|Sexual Behavior/*statistics & numerical data
[MESH]