Literature DB >> 8935735

Capture-recapture methods in epidemiological studies.

C Stephen1.   

Abstract

Medical researchers often are faced with the challenge of estimating the total number of cases in a population based on incomplete samples. Because of a lack of explicit methods for determining if all cases have been counted, indirect methods for estimating the abundance of disease have been developed. Capture-recapture models are an indirect method of estimating population sizes that have been employed in recent epidemiological studies. These methods, derived from techniques developed for studies of animal abundance, estimate the true population size by evaluating the degree of overlap among incomplete lists of cases from existing data sources. Although intuitively appealing, the successful application of these methods is dependent upon a clear understanding of the biology of the disorder involved, the dynamics of the reference population, and the assumption and robustness of the specific models used. Failure to address these issues can lead to inaccurate and sometimes misleading results. This article describes some of the strengths and limitations of recapture techniques and provides the reader with a foundation from which to explore the methods in further detail.

Mesh:

Year:  1996        PMID: 8935735     DOI: 10.1086/647290

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  12 in total

1.  Estimating incidence of bacterial meningitis with capture-recapture method, Lazio Region, Italy.

Authors:  A Faustini; V Fano; M Sangalli; S Ferro; L Celesti; P Contegiacomo; V Renzini; C A Perucci
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  Capture-recapture analysis to estimate the incidence of invasive meningococcal disease in Germany, 2003.

Authors:  A Schrauder; H Claus; J Elias; U Vogel; W Haas; W Hellenbrand
Journal:  Epidemiol Infect       Date:  2006-08-29       Impact factor: 2.451

Review 3.  Recent insights in the epidemiology of autoimmune diseases: improved prevalence estimates and understanding of clustering of diseases.

Authors:  Glinda S Cooper; Milele L K Bynum; Emily C Somers
Journal:  J Autoimmun       Date:  2009-10-09       Impact factor: 7.094

4.  Using linked birth, notification, hospital and mortality data to examine false-positive meningococcal disease reporting and adjust disease incidence estimates for children in New South Wales, Australia.

Authors:  A Gibson; L Jorm; P McIntyre
Journal:  Epidemiol Infect       Date:  2015-01-09       Impact factor: 4.434

5.  Comparison of VAERS fetal-loss reports during three consecutive influenza seasons: was there a synergistic fetal toxicity associated with the two-vaccine 2009/2010 season?

Authors:  G S Goldman
Journal:  Hum Exp Toxicol       Date:  2012-09-27       Impact factor: 2.903

6.  Indirect estimation of student marijuana consumers population in Hamadan using PRM and NSU methods.

Authors:  Leyla Halimi; Mohammad Babamiri; Yadollah Hamidi; Seyyed Reza Majdzadeh; Ali Reza Soltanian
Journal:  Med J Islam Repub Iran       Date:  2020-11-30

7.  Estimating the number of injection drug users in greater Victoria, Canada using capture-recapture methods.

Authors:  Yuan Xu; Murray Fyfe; Liz Walker; Laura L E Cowen
Journal:  Harm Reduct J       Date:  2014-03-03

8.  Estimation of the active network size of kermanian males.

Authors:  Mostafa Shokoohi; Mohammad Reza Baneshi; Ali Akbar Haghdoost
Journal:  Addict Health       Date:  2010 Summer-Autumn

9.  Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.

Authors:  Debebe Shaweno; Malancha Karmakar; Kefyalew Addis Alene; Romain Ragonnet; Archie Ca Clements; James M Trauer; Justin T Denholm; Emma S McBryde
Journal:  BMC Med       Date:  2018-10-18       Impact factor: 8.775

10.  Prevalence of Down's Syndrome in England, 1998-2013: Comparison of linked surveillance data and electronic health records.

Authors:  J C Doidge; J K Morris; K L Harron; S Stevens; R Gilbert
Journal:  Int J Popul Data Sci       Date:  2020-03-19
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