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Capture-Recapture and Multiple-Record Systems Estimation II: Applications in Human Diseases

International Working Group for Disease Monitoring and Forecasting·1995·American Journal of Epidemiology

Abstract

This article evaluates the potential epidemiologic uses of capture-recapture, which include the primary area of determining disease frequency. Capture-recapture may be a means to effectively “count” new cases (incidence) or count existing cases (prevalence). Specific applications of capture-recapture in epidemiology are presented, one of which is its use in estimating death rates in a region close to Calcutta, India. The method also has considerable potential to assess suicides, and it may be the only technique to assess disease frequency in developing countries. In addition to generating an estimate of population size, another application of capture-recapture is to assess the costs of ascertainment relative to the degree of accuracy. This approach provides a formal means for assessing the cost-benefits of lists for the identification of cases. The authors believe that with careful and appropriate use, capture-recapture methods will provide a new approach that can considerably improve our ability to monitor disease. Am J Epidemiol 1995;142:1059–68.

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Metadata

Authors
International Working Group for Disease Monitoring and Forecasting
Venue
American Journal of Epidemiology
Published
1995-11-15
Volume
142
Issue
10
Pages
1059-1068
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2283573682
Cited by
346
References
0
FWCI
3.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Capture-Recapture and Multiple-Record Systems Estimation II: Applications in Human Diseases. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a117559
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International Working Group for Disease Monitoring and Forecasting. (1995). Capture-Recapture and Multiple-Record Systems Estimation II: Applications in Human Diseases. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a117559

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.