scholarly journals Estimating the Number of Sex Workers in South Africa: Rapid Population Size Estimation

2015 ◽  
Vol 19 (S1) ◽  
pp. 3-15 ◽  
Author(s):  
Tracey L. Konstant ◽  
Jerushah Rangasami ◽  
Maria J. Stacey ◽  
Michelle L. Stewart ◽  
Coceka Nogoduka
Keyword(s):  
South Africa ◽  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Size Estimation

Characteristics and Population Size Estimation of Female Sex Workers in Bhutan

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lekey Khandu ◽  
Tashi Tobgay ◽  
Kinley Kinley ◽  
Ngawang Choida ◽  
Tshering Tashi ◽  
...  
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Female Sex

scholarly journals Population size estimation of female sex workers in Iran: Synthesis of methods and results

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182755 ◽  
Author(s):  
Hamid Sharifi ◽  
Mohammad Karamouzian ◽  
Mohammad Reza Baneshi ◽  
Mostafa Shokoohi ◽  
AliAkbar Haghdoost ◽  
...  
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Female Sex

scholarly journals Population Size Estimation of Venue-Based Female Sex Workers in Ho Chi Minh City, Vietnam: Capture-Recapture Exercise

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 ◽  
...  
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Ho Chi Minh City ◽  
Size Estimation ◽  
Female Sex ◽  
Capture Recapture

shinyrecap: A Shiny Application for Population Size Estimation from Capture-Recapture Data (Preprint)

2021 ◽  
Author(s):  
Anne F. McIntyre ◽  
Ian E. Fellows ◽  
Steve Gutreuter ◽  
Wolfgang Hladik
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Sub Saharan Africa ◽  
Size Estimation ◽  
Female Sex ◽  
Populations At Risk ◽  
Population Size Estimates ◽  
Capture Recapture

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.

scholarly journals Population Size Estimation Methods: Searching for the Holy Grail (Preprint)

2020 ◽  
Author(s):  
Joyce J Neal ◽  
Dimitri Prybylski ◽  
Travis Sanchez ◽  
Wolfgang Hladik
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Estimation Methods ◽  
Size Estimation ◽  
Empirical Methods ◽  
Program Outcomes ◽  
Gold Standard Method ◽  
Response Planning ◽  
Sex With Men

UNSTRUCTURED Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.

scholarly journals Network Scale-Up Correction Factors for Population Size Estimation of People Who Inject Drugs and Female Sex Workers in Iran

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e110917 ◽  
Author(s):  
Ahmad Maghsoudi ◽  
Mohammad Reza Baneshi ◽  
Mojtaba Neydavoodi ◽  
AliAkbar Haghdoost
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
People Who Inject Drugs ◽  
Scale Up ◽  
Population Size Estimation ◽  
Correction Factors ◽  
Size Estimation ◽  
Female Sex ◽  
Network Scale

scholarly journals Population Size Estimation of Venue-Based Female Sex Workers in Ho Chi Minh City, Vietnam: Capture-Recapture Exercise (Preprint)

2018 ◽  
Author(s):  
Giang Le ◽  
Nghia Khuu ◽  
Van Thi Thu Tieu ◽  
Phuc Duy Nguyen ◽  
Hoa Thi Yen Luong ◽  
...  
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Ho Chi Minh City ◽  
Size Estimation ◽  
Female Sex ◽  
Unique Object ◽  
Capture Recapture ◽  
Selection Of

BACKGROUND There is limited population size estimation of female sex workers (FSWs) in Ho Chi Minh City (HCMC)—the largest city in Vietnam. Only 1 population size estimation among venue-based female sex workers (VFSWs) was conducted in 2012 in HCMC. Appropriate estimates of the sizes of key populations are critical for resource allocation to prevent HIV infection. OBJECTIVE The aim of this study was to estimate the population size of the VFSWs from December 2016 to January 2017 in HCMC, Vietnam. METHODS A multistage capture-recapture study was conducted in HCMC. The capture procedures included selection of districts using stratified probability proportion to size, mapping to identify venues, approaching all VFSWs to screen their eligibility, and then distribution of a unique object (a small pink makeup bag) to all eligible VFSWs in all identified venues. The recapture exercise included equal probability random selection of a sample of venues from the initial mapping and then approaching FSWs in those venues to determine the number and proportion of women who received the unique object. The proportion and associated confidence bounds, calculated using sampling weights and accounting for study design, were then divided by the number of objects distributed to calculate the number of VFSWs in the selected districts. This was then multiplied by the inverse of the proportion of districts selected to calculate the number of VFSWs in HCMC as a whole. RESULTS Out of 24 districts, 6 were selected for the study. Mapping identified 573 venues across which 2317 unique objects were distributed in the first capture. During the recapture round, 103 venues were selected and 645 VFSWs were approached and interviewed. Of those, 570 VFSWs reported receiving the unique object during the capture round. Total estimated VFSWs in the 6 selected districts were 2616 (95% CI 2445-3014), accounting for the fact that only 25% (6/24) of total districts were selected gives an overall estimate of 10,465 (95% CI 9782-12,055) VFSWs in HCMC. CONCLUSIONS The capture-recapture exercise provided an estimated number of VFSWs in HCMC. However, for planning HIV prevention and care service needs among all FSWs, studies are needed to assess the number of sex workers who are not venue-based, including those who use social media platforms to sell services.

scholarly journals Female sex workers population size estimation in Rwanda using a three-source capture-recapture method

2021 ◽  
pp. 1-25
Author(s):  
G. Musengimana ◽  
E. Tuyishime ◽  
E. Remera ◽  
M. Dong ◽  
D. Sebuhoro ◽  
...  
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Female Sex Workers ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Female Sex ◽  
Capture Recapture

scholarly journals Population Size Estimation Methods: Searching for the Holy Grail

10.2196/25076 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e25076
Author(s):  
Joyce J Neal ◽  
Dimitri Prybylski ◽  
Travis Sanchez ◽  
Wolfgang Hladik
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Estimation Methods ◽  
Size Estimation ◽  
Empirical Methods ◽  
Program Outcomes ◽  
Gold Standard Method ◽  
Response Planning ◽  
Sex With Men

Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.

Methods for Estimating Population Size for Key Populations: A Global Scoping Review for HIV Research

2021 ◽  
Author(s):  
Chen Xu ◽  
Fengshi Jing ◽  
Ying Lu ◽  
Yuxin Ni ◽  
Joseph D. Tucker ◽  
...  
Keyword(s):  
Population Size ◽  
Scoping Review ◽  
Sex Workers ◽  
Sampling Method ◽  
Estimation Method ◽  
Population Size Estimation ◽  
Data Driven ◽  
Multiplier Method ◽  
Key Populations ◽  
Size Estimation

Abstract Background: Estimating the population sizes of key populations is critical for understanding the overall HIV burden. This scoping review aims to synthesize existing methods for population size estimation among key populations (people who inject drugs, men who have sex with men (MSM), transgender persons, sex workers, and incarcerated individuals), and provide recommendations for future application of the existing methods.Main text: A scoping review was conducted and 39 of 688 studies met the inclusion criteria and were assessed. Estimation methods included five digital methods, one in-person method, and four hybrid methods. We summarized and organized the methods for population size estimation into the following five categories: methods based on independent samples (including capture-recapture method and multiplier method), methods based on population counting (including Delphi method and mapping method), methods based on the official report (including workbook method), methods based on social network (including respondent-driven sampling method and network scale-up method) and methods based on data-driven technologies (Bayesian estimation method, Stochastic simulation method, and LMS estimation method). 36 (92%) articles were published after 2010 and 23 (59%) used multiple methods. These include 11 in high-income countries and 28 in low-income countries. A total of 10 estimates the size of sex workers, 14 focused on MSM, and 10 focused on PWID. Conclusion: There was no gold standard for population size estimation. Among 120 studies that were related to population size estimation of key populations, the most commonly used population estimation method is the multiplier method (26/120 studies). Every method has its strengths. For example, some traditional methods are simple and easy to use for researchers. Some novel methods are time- and resources- saving. However, each method has its limitations and bias. For example, for the respondent-driven sampling method, stigma and discrimination may lead to the "hiddenness" of the key population; for the multiplier method, the quality of authentic data may also influence the accuracy of the estimation. In recent years, novel methods based on data-driven technologies such as Bayesian estimation have been developed and applied in many surveys.

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