Literature DB >> 31106350

Software Application Profile: The Anchored Multiplier calculator-a Bayesian tool to synthesize population size estimates.

Paul D Wesson1, Willi McFarland2, Cong Charlie Qin3, Ali Mirzazadeh2.   

Abstract

Estimating the number of people in hidden populations is needed for public health research, yet available methods produce highly variable and uncertain results. The Anchored Multiplier calculator uses a Bayesian framework to synthesize multiple population size estimates to generate a consensus estimate. Users submit point estimates and lower/upper bounds which are converted to beta probability distributions and combined to form a single posterior probability distribution. The Anchored Multiplier calculator is available as a web browser-based application. The software allows for unlimited empirical population size estimates to be submitted and combined according to Bayes Theorem to form a single estimate. The software returns output as a forest plot (to visually compare data inputs and the final Anchored Multiplier estimate) and a table that displays results as population percentages and counts. The web application 'Anchored Multiplier Calculator' is free software and is available at [http://globalhealthsciences.ucsf.edu/resources/tools] or directly at [http://anchoredmultiplier.ucsf.edu/].
© The Author(s) 2019; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Entities:  

Keywords:  Bayesian modelling; data synthesis; key populations; population size estimation

Year:  2019        PMID: 31106350      PMCID: PMC6929553          DOI: 10.1093/ije/dyz101

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  17 in total

1.  Bayesian perspectives for epidemiological research: I. Foundations and basic methods.

Authors:  Sander Greenland
Journal:  Int J Epidemiol       Date:  2006-01-30       Impact factor: 7.196

Review 2.  Bayesian perspectives for epidemiological research. II. Regression analysis.

Authors:  Sander Greenland
Journal:  Int J Epidemiol       Date:  2007-02-28       Impact factor: 7.196

3.  Appropriateness and execution challenges of three formal size estimation methods for high-risk populations in India.

Authors:  Selvaraj Vadivoo; Mohan D Gupte; Rajatashuvra Adhikary; Anjalee Kohli; Boopathi Kangusamy; Vasna Joshua; A K Mathai; Kishore Kumar; Mandar Mainkar; Prabuddhagopal Goswami
Journal:  AIDS       Date:  2008-12       Impact factor: 4.177

4.  A Bayesian approach to synthesize estimates of the size of hidden populations: the Anchored Multiplier.

Authors:  Paul D Wesson; Ali Mirzazadeh; Willi McFarland
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

5.  Evaluating the Completeness of HIV Surveillance Using Capture-Recapture Models, Alameda County, California.

Authors:  Paul Wesson; Richard Lechtenberg; Arthur Reingold; Willi McFarland; Neena Murgai
Journal:  AIDS Behav       Date:  2018-07

Review 6.  Estimating the size of key populations: current status and future possibilities.

Authors:  Abu S Abdul-Quader; Andrew L Baughman; Wolfgang Hladik
Journal:  Curr Opin HIV AIDS       Date:  2014-03       Impact factor: 4.283

7.  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

8.  Critique and lessons learned from using multiple methods to estimate population size of men who have sex with men in Ghana.

Authors:  Silas Quaye; H Fisher Raymond; Kyeremeh Atuahene; Richard Amenyah; John Aberle-Grasse; Willi McFarland; Angela El-Adas
Journal:  AIDS Behav       Date:  2015-02

Review 9.  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

10.  Population size estimation of female sex workers in Iran: Synthesis of methods and results.

Authors:  Hamid Sharifi; Mohammad Karamouzian; Mohammad Reza Baneshi; Mostafa Shokoohi; AliAkbar Haghdoost; Willi McFarland; Ali Mirzazadeh
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

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  2 in total

1.  Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based Graphical User Interface.

Authors:  Anne F McIntyre; Ian E Fellows; Steve Gutreuter; Wolfgang Hladik
Journal:  JMIR Public Health Surveill       Date:  2022-04-26

2.  Population size estimation of transgender women and men in Bhutan.

Authors:  Lekey Khandu; Kinley Kinley; Yonten Choki Norbu; Tashi Tobgay; Tashi Tsheten; Tenzin Gyeltshen; Sonam Choden; Willi McFarland
Journal:  PLoS One       Date:  2022-10-07       Impact factor: 3.752

  2 in total

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