ArticleEpidemiology and health2017
Using the capture-recapture method to estimate the human immunodeficiency virus-positive population.
Article in Epidemiology and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- UTILIZING A CAPTURE-RECAPTURE STRATEGY TO ACCELERATE INFECTIOUS DISEASE SURVEILLANCE.The annals of applied statistics · 2024Article
- A capture-recapture modeling framework emphasizing expert opinion in disease surveillance.Statistical methods in medical research · 2024Article
- Tailoring capture-recapture methods to estimate registry-based case counts based on error-prone diagnostic signals.Statistics in medicine · 2023Article
- On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance.Epidemiologic methods · 2023Article
- Improving HIV stigma in the marginalized population in Khorramabad, Iran: A single-blinded randomized, controlled educational trial using role-playing and lecturing.PLOS global public health · 2023Article
- Using Capture-Recapture Methodology to Enhance Precision of Representative Sampling-Based Case Count Estimates.Journal of survey statistics and methodology · 2022Article
- Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based Graphical User Interface.JMIR public health and surveillance · 2022Article
- Using capture-recapture methods to estimate influenza hospitalization incidence rates.Influenza and other respiratory viruses · 2022Article
- Epidemiologic characteristics of orthopedic surgical site infections and under-reporting estimation of registries using capture-recapture analysis.BMC infectious diseases · 2021Article
- Article
- Estimating the number of farms experienced foot and mouth disease outbreaks using capture-recapture methods.Tropical animal health and production · 2020Article
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3 authors.
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Abstract
objectivesThe capture-recapture method was applied to estimate the number of human immunodeficiency virus (HIV)-positive individuals not registered with any data sources.
methodsThis 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.
resultsOf 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%.
conclusionsBased 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.
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