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Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based

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  • 1Division of Global HIV & TB, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.

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Summary
This summary is machine-generated.

This study introduces shinyrecap, a user-friendly R application for estimating population sizes (PSE) in hidden populations using 3-sample capture-recapture (3S-CRC) methods, simplifying complex statistical analyses for field epidemiologists.

Keywords:
Bayesian modelsHIVShinydigital healthepidemiologykey populationslatent-class modelsmultiple-source capture-recaptureonline communitiesonline health applicationpopulation size estimationpopulationsrisk factors

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health

Background:

  • Population size estimates (PSE) are crucial for allocating HIV services to high-risk groups.
  • Capture-recapture (CRC) methods are commonly used for estimating sizes of hidden populations.
  • Three-sample CRC (3S-CRC) offers more robust estimates but involves complex statistical analysis.

Purpose of the Study:

  • To design and describe shinyrecap, a user-friendly interface for generating PSE.
  • To provide field epidemiologists with an accessible tool for complex 3S-CRC analyses.

Main Methods:

  • shinyrecap is built on the R Shiny framework, integrating with statistical packages like Rcapture, dga, and LCMCR.
  • The application supports online access or local installation.
  • It includes tools for sample size calculation, data formatting, and supports various methodologies (log-linear, Bayesian).

Main Results:

  • The application facilitates sample size calculation via simulation.
  • It converts data formats for analysis software.
  • Provides diagnostics and model checking for multiple statistical methodologies.

Conclusions:

  • shinyrecap simplifies the production of robust PSE using 3S-CRC.
  • A use case demonstrated its utility for estimating female sex worker populations in sub-Saharan Africa.