scholarly journals Estimating the Population Size of Female Sex Workers in Namibia Using a Respondent-Driven Sampling Adjustment to the Reverse Tracking Method: A Novel Approach

10.2196/11737 ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e11737 ◽  
Author(s):  
Paul Douglas Wesson ◽  
Rajatashuvra Adhikary ◽  
Anna Jonas ◽  
Krysta Gerndt ◽  
Ali Mirzazadeh ◽  
...  
2018 ◽  
Author(s):  
Paul Douglas Wesson ◽  
Rajatashuvra Adhikary ◽  
Anna Jonas ◽  
Krysta Gerndt ◽  
Ali Mirzazadeh ◽  
...  

BACKGROUND Key populations, including female sex workers (FSWs), are at a disproportionately high risk for HIV infection. Estimates of the size of these populations serve as denominator data to inform HIV prevention and treatment programming and are necessary for the equitable allocation of limited public health resources. OBJECTIVE This study aimed to present the respondent-driven sampling (RDS) adjusted reverse tracking method (RTM; RadR), a novel population size estimation approach that combines venue mapping data with RDS data to estimate the population size, adjusted for double counting and nonattendance biases. METHODS We used data from a 2014 RDS survey of FSWs in Windhoek and Katima Mulilo, Namibia, to demonstrate the RadR method. Information from venue mapping and enumeration from the survey formative assessment phase were combined with survey-based venue-inquiry questions to estimate population size, adjusting for double counting, and FSWs who do not attend venues. RadR estimates were compared with the official population size estimates, published by the Namibian Ministry of Health and Social Services (MoHSS), and with the unadjusted RTM. RESULTS Using the RadR method, we estimated 1552 (95% simulation interval, SI, 1101-2387) FSWs in Windhoek and 453 (95% SI: 336-656) FSWs in Katima Mulilo. These estimates were slightly more conservative than the MoHSS estimates—Windhoek: 3000 (1800-3400); Katima Mulilo: 800 (380-2000)—though not statistically different. We also found 75 additional venues in Windhoek and 59 additional venues in Katima Mulilo identified by RDS participants’ responses that were not detected during the initial mapping exercise. CONCLUSIONS The RadR estimates were comparable with official estimates from the MoHSS. The RadR method is easily integrated into RDS studies, producing plausible population size estimates, and can also validate and update key population maps for outreach and venue-based sampling.


2013 ◽  
Vol 24 (1) ◽  
pp. 34-38 ◽  
Author(s):  
C Manopaiboon ◽  
D Prybylski ◽  
W Subhachaturas ◽  
S Tanpradech ◽  
O Suksripanich ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lekey Khandu ◽  
Tashi Tobgay ◽  
Kinley Kinley ◽  
Ngawang Choida ◽  
Tshering Tashi ◽  
...  

2013 ◽  
Vol 89 (Suppl 1) ◽  
pp. A208.2-A208
Author(s):  
P Afsar Kazerooni ◽  
N Motazedian ◽  
M Motamedifar ◽  
M Sayadi ◽  
M Sabet ◽  
...  

2017 ◽  
Vol 51 (0) ◽  
Author(s):  
Marcos André de Matos ◽  
Divânia Dias da Silva França ◽  
Megmar Aparecida dos Santos Carneiro ◽  
Regina Maria Bringel Martins ◽  
Lígia Regina Franco Sansigolo Kerr ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182755 ◽  
Author(s):  
Hamid Sharifi ◽  
Mohammad Karamouzian ◽  
Mohammad Reza Baneshi ◽  
Mostafa Shokoohi ◽  
AliAkbar Haghdoost ◽  
...  

10.2196/10906 ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e10906 ◽  
Author(s):  
Giang Le ◽  
Nghia Khuu ◽  
Van Thi Thu Tieu ◽  
Phuc Duy Nguyen ◽  
Hoa Thi Yen Luong ◽  
...  

2021 ◽  
Author(s):  
Anne F. McIntyre ◽  
Ian E. Fellows ◽  
Steve Gutreuter ◽  
Wolfgang Hladik

BACKGROUND Capture-recapture is often used to estimate the size of populations at risk for HIV, including female sex workers, men who have sex with men, and people who inject drugs. These population size estimates are critical in determining resource allocation for HIV services geared toward these communities. OBJECTIVE Compared to the commonly used two-source capture-recapture, capture-recapture relying on three (or more) samples can provide more robust PSE but involve far more complex statistical analysis. shinyrecap is designed to provide a user-friendly interface for the field epidemiologist. METHODS shinyrecap is built on the Shiny web application framework for R. This allows it to seamlessly integrate with the sophisticated CRC statistical packages. Additionally, the application may be accessed online or run locally on the user’s machine. RESULTS The application enables users to engage in sample size calculation based on a simulation framework. It assists in the proper formatting of collected data by providing a tool to convert commonly used formats to that used by analysis software. A wide variety of methodologies are supported by the analysis tool, including log-linear, Bayesian model averaging, and Bayesian latent class models. For each methodology, diagnostics and model checking interfaces are provided. CONCLUSIONS Through a use case, we demonstrate the broad utility of this powerful tool with three-source capture-recapture data to produce population size estimation for female sex workers in a subnational unit of a country in sub-Saharan Africa.


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