Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
1 "Farzad Farzinara"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Using the capture-recapture method to estimate the human immunodeficiency virus-positive population
Jalal Poorolajal, Younes Mohammadi, Farzad Farzinara
Epidemiol Health. 2017;39:e2017042.   Published online October 10, 2017
DOI: https://doi.org/10.4178/epih.e2017042
  • 15,026 View
  • 250 Download
  • 11 Web of Science
  • 12 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
The capture-recapture method was applied to estimate the number of human immunodeficiency virus (HIV)-positive individuals not registered with any data sources.
METHODS
This cross-sectional study was conducted in Lorestan Province, in the west of Iran, in 2016. Three incomplete sources of HIV-positive individuals, with partially overlapping data, were used, including: (a) transfusion center, (b) volunteer counseling and testing centers (VCTCs), and (c) prison. The 3-source capture-recapture method, using a log-linear model, was applied for data analysis. The Akaike information criterion and the Bayesian information criterion were used for model selection.
RESULTS
Of the 2,456 HIV-positive patients registered in these 3 data sources, 1,175 (47.8%) were identified in transfusion center, 867 (35.3%) in VCTCs, and 414 (16.8%) in prison. After the exclusion of duplicate entries, 2,281 HIV-positive patients remained. Based on the capture-recapture method, 14,868 (95% confidence interval, 9,923 to 23,427) HIV-positive individuals were not identified in any of the registries. Therefore, the real number of HIV-positive individuals was estimated to be 17,149, and the overall completeness of the 3 registries was estimated to be around 13.3%.
CONCLUSIONS
Based on capture-recapture estimates, a huge number of HIV-positive individuals are not registered with any of the provincial data sources. This is an urgent message for policymakers who plan and provide health care services for HIV-positive patients. Although the capture-recapture method is a useful statistical approach for estimating unknown populations, due to the assumptions and limitations of the method, the population size may be overestimated as it seems possible in our results.
Summary

Citations

Citations to this article as recorded by  
  • A capture-recapture modeling framework emphasizing expert opinion in disease surveillance
    Yuzi Zhang, Lin Ge, Lance A Waller, Sarita Shah, Robert H Lyles
    Statistical Methods in Medical Research.2024; 33(7): 1197.     CrossRef
  • Improving HIV stigma in the marginalized population in Khorramabad, Iran: A single-blinded randomized, controlled educational trial using role-playing and lecturing
    Mina Jomezadeh, Fereshteh Zamani-Alavijeh, Forugh Aleebrahim, Maryam Nasirian, Kavitha Saravu
    PLOS Global Public Health.2023; 3(3): e0000689.     CrossRef
  • Estimación de casos de VIH no diagnosticados en la región Cajamarca, Perú: vinculación probabilística entre bases de datos
    Hans Ramón Quiroz-Ruiz, Omar Daniel Pairazamán-Quiroz, Diego Enrique Quiroz-Villanueva, Hernán Daniel Cornejo-Pacherres, Fiorella Nathalí Hernández-Palomino, Azucena Angélica Cruzado-Montero, Jorge Enrique Bazán-Mayra, Eduardo Miranda-Ulloa
    Ciência & Saúde Coletiva.2023; 28(6): 1843.     CrossRef
  • On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance
    Yuzi Zhang, Lin Ge, Lance A. Waller, Robert H. Lyles
    Epidemiologic Methods.2023;[Epub]     CrossRef
  • Using capture‐recapture methods to estimate influenza hospitalization incidence rates
    Goundappa K. Balasubramani, Mary Patricia Nowalk, Lloyd G. Clarke, Klancie Dauer, Fernanda Silveira, Donald B. Middleton, Mohamed Yassin, Richard K. Zimmerman
    Influenza and Other Respiratory Viruses.2022; 16(2): 308.     CrossRef
  • Using Capture–Recapture Methodology to Enhance Precision of Representative Sampling-Based Case Count Estimates
    Robert H Lyles, Yuzi Zhang, Lin Ge, Cameron England, Kevin Ward, Timothy L Lash, Lance A Waller
    Journal of Survey Statistics and Methodology.2022; 10(5): 1292.     CrossRef
  • Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based Graphical User Interface
    Anne F McIntyre, Ian E Fellows, Steve Gutreuter, Wolfgang Hladik
    JMIR Public Health and Surveillance.2022; 8(4): e32645.     CrossRef
  • Estimating the number of farms experienced foot and mouth disease outbreaks using capture-recapture methods
    Chalutwan Sansamur, Anuwat Wiratsudakul, Arisara Charoenpanyanet, Veerasak Punyapornwithaya
    Tropical Animal Health and Production.2021;[Epub]     CrossRef
  • Epidemiologic characteristics of orthopedic surgical site infections and under-reporting estimation of registries using capture-recapture analysis
    Niloufar Taherpour, Yadollah Mehrabi, Arash Seifi, Babak Eshrati, Seyed Saeed Hashemi Nazari
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • National and subnational size estimation of female sex workers in Ghana 2020: Comparing 3-source capture-recapture with other approaches
    Chris Guure, Samuel Dery, Seth Afagbedzi, Waimar Tun, Sharon Stucker Weir, Silas Quaye, Augustine Ankomah, Kwasi Torpey, Georges Nguefack-Tsague
    PLOS ONE.2021; 16(9): e0256949.     CrossRef
  • A Review of Capture-recapture Methods and Its Possibilities in Ophthalmology and Vision Sciences
    Pedro Lima Ramos, Inês Sousa, Rui Santana, William H Morgan, Keith Gordon, Julie Crewe, Amândio Rocha-Sousa, Antonio Filipe Macedo
    Ophthalmic Epidemiology.2020; 27(4): 310.     CrossRef
  • Size of the Adult HIV-Infected Population Adjusted for the Unreported AIDS Mortality in the Santa Catarina State, Brazil, 2008-2017
    Larissa Hermes Thomas Tombini, Emil Kupek
    Current HIV Research.2019; 17(4): 277.     CrossRef

Epidemiol Health : Epidemiology and Health
TOP