Literature DB >> 24393694

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

Abu S Abdul-Quader1, Andrew L Baughman, Wolfgang Hladik.   

Abstract

PURPOSE OF REVIEW: Estimation of key population sizes is essential for advocacy, program planning, and monitoring of HIV epidemics in these populations. A review of recent publications on population size estimation among key populations including MSM, people who inject drugs, and male and female sex workers was conducted to identify and assess current practices at the global level. RECENT
FINDINGS: Studies have used multiple methods including capture-recapture, service multiplier, and unique object multiplier. Other studies apply census and enumeration, often before implementation of a behavioral survey. Network scale-up is used infrequently. Newer methods or variations of existing size estimation methods have emerged that are applied solely within surveys.
SUMMARY: A range of size estimation methods is available. All methods rely on theoretical assumptions that are difficult to meet in practice, are logistically difficult to conduct, or have yet to be fully validated. Accurate and valid key population size estimates remain as necessary as they are challenging to undertake; the concurrent use of multiple methods may be justified to facilitate the triangulation and interpretation of the resulting estimates. Formative assessment can help inform the appropriateness and feasibility of different size estimation methods.

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Mesh:

Year:  2014        PMID: 24393694      PMCID: PMC6787402          DOI: 10.1097/COH.0000000000000041

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  24 in total

1.  Estimating population size with two- and three-stage sampling designs.

Authors:  Jacqueline E Tate; Michael G Hudgens
Journal:  Am J Epidemiol       Date:  2007-03-30       Impact factor: 4.897

Review 2.  Statistical considerations in meta-analysis.

Authors:  Michael Barza; Thomas A Trikalinos; Joseph Lau
Journal:  Infect Dis Clin North Am       Date:  2009-06       Impact factor: 5.982

3.  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

4.  Estimating the Size of the Methamphetamine-Using Population in New York City Using Network Sampling Techniques.

Authors:  Kirk Dombrowski; Bilal Khan; Travis Wendel; Katherine McLean; Evan Misshula; Ric Curtis
Journal:  Adv Appl Sociol       Date:  2012-12-01

5.  Estimating population size, HIV prevalence and HIV incidence among men who have sex with men: a case example of synthesising multiple empirical data sources and methods in San Francisco.

Authors:  H Fisher Raymond; Sylvia Bereknyei; Nancy Berglas; Jennifer Hunter; Norah Ojeda; Willi McFarland
Journal:  Sex Transm Infect       Date:  2013-04-25       Impact factor: 3.519

6.  Estimating hidden population size using Respondent-Driven Sampling data.

Authors:  Mark S Handcock; Krista J Gile; Corinne M Mar
Journal:  Electron J Stat       Date:  2014       Impact factor: 1.125

Review 7.  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.

Authors:  Jerry Okal; Scott Geibel; Nicolas Muraguri; Helgar Musyoki; Waimar Tun; Dita Broz; David Kuria; Andrea Kim; Tom Oluoch; H Fisher Raymond
Journal:  Sex Transm Infect       Date:  2013-08       Impact factor: 3.519

8.  Estimating the population size of men who have sex with men: a modified Laska, Meisner and Siegel procedure taking into account internet populations.

Authors:  Hao Chen; Yanhui Zhang; Hongzhuan Tan; Dan Lin; Mengshi Chen; Niannian Chen; Yugang Bao; Shiwu Wen
Journal:  Sex Transm Infect       Date:  2012-09-01       Impact factor: 3.519

9.  Improved benchmark-multiplier method to estimate the prevalence of ever-injecting drug use in Belgium, 2000-10.

Authors:  Kaatje Bollaerts; Marc Aerts; Andre Sasse
Journal:  Arch Public Health       Date:  2013-05-03

10.  Population size estimation of men who have sex with men through the network scale-up method in Japan.

Authors:  Satoshi Ezoe; Takeo Morooka; Tatsuya Noda; Miriam Lewis Sabin; Soichi Koike
Journal:  PLoS One       Date:  2012-01-27       Impact factor: 3.240

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  38 in total

Review 1.  HIV treatment cascade in MSM, people who inject drugs, and sex workers.

Authors:  Kathryn Risher; Kenneth H Mayer; Chris Beyrer
Journal:  Curr Opin HIV AIDS       Date:  2015-11       Impact factor: 4.283

2.  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

3.  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

4.  Sexual risk behaviors and STDs among persons who inject drugs: A national study.

Authors:  Kathryn A Brookmeyer; Laura T Haderxhanaj; Matthew Hogben; Jami Leichliter
Journal:  Prev Med       Date:  2019-07-15       Impact factor: 4.018

Review 5.  Data and methods to characterize the role of sex work and to inform sex work programs in generalized HIV epidemics: evidence to challenge assumptions.

Authors:  Sharmistha Mishra; Marie-Claude Boily; Sheree Schwartz; Chris Beyrer; James F Blanchard; Stephen Moses; Delivette Castor; Nancy Phaswana-Mafuya; Peter Vickerman; Fatou Drame; Michel Alary; Stefan D Baral
Journal:  Ann Epidemiol       Date:  2016-06-15       Impact factor: 3.797

6.  One-step estimation of networked population size: Respondent-driven capture-recapture with anonymity.

Authors:  Bilal Khan; Hsuan-Wei Lee; Ian Fellows; Kirk Dombrowski
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

7.  Population-based methods for estimating the number of men who have sex with men: a systematic review.

Authors:  Daniel E Mauck; Merhawi T Gebrezgi; Diana M Sheehan; Kristopher P Fennie; Gladys E Ibañez; Eric A Fenkl; Mary Jo Trepka
Journal:  Sex Health       Date:  2019-11       Impact factor: 2.706

8.  Estimating the contribution of stimulant injection to HIV and HCV epidemics among people who inject drugs and implications for harm reduction: A modeling analysis.

Authors:  Javier A Cepeda; Peter Vickerman; Julie Bruneau; Geng Zang; Annick Borquez; Michael Farrell; Louisa Degenhardt; Natasha K Martin
Journal:  Drug Alcohol Depend       Date:  2020-06-24       Impact factor: 4.492

9.  Hepatitis C Care Cascades for 3 Populations at High Risk: Low-income Trans Women, Young People Who Inject Drugs, and Men Who Have Sex With Men and Inject Drugs.

Authors:  Shelley N Facente; Sheena Patel; Jennifer Hecht; Erin Wilson; Willi McFarland; Kimberly Page; Peter Vickerman; Hannah Fraser; Katie Burk; Meghan D Morris
Journal:  Clin Infect Dis       Date:  2021-09-15       Impact factor: 9.079

10.  Using factor analyses to estimate the number of female sex workers across Malawi from multiple regional sources.

Authors:  Xiaoyue Maggie Niu; Amrita Rao; David Chen; Ben Sheng; Sharon Weir; Eric Umar; Gift Trapence; Vincent Jumbe; Dunker Kamba; Katherine Rucinski; Nikita Viswasam; Stefan Baral; Le Bao
Journal:  Ann Epidemiol       Date:  2020-12-16       Impact factor: 3.797

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