A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences

Bibliographic Details
Main Author: Ramos, Pedro Alexandre Fernandes Lima
Publication Date: 2020
Other Authors: Sousa, Inês, Santana, Rui, Morgan, William H., Gordon, Keith, Crewe, Julie, Rocha-Sousa, Amandio, Macedo, António Filipe
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/72735
Summary: Epidemiological information is expected to be used to develop key aspects of eye care such as to control and minimise the impact of diseases, to allocate resources, to monitor public health actions, to determine the best treatment options and to forecast the consequence of diseases in populations. Epidemiological studies are expected to provide information about the prevalence and/or incidence of eye diseases or conditions. To determine prevalence is necessary to perform a cross-sectional screening of the population at risk to ascertain the number of cases.The aim of this review is to describe and evaluate capture-recapture methods (or models) to ascertaining the number of individuals with a disease (e.g. diabetic retinopathy) or condition (e.g. vision impairment) in the population.The review covers the fundamental aspects of capture-recapture methods that would enable non-experts in epidemiology to use it in ophthalmic studies. The review provides information about theoretical aspects of the method with examples of studies in ophthalmology in which it has been used. We also provide a problem/solution approach for limitations arising from the lists obtained from registers or other reliable sources.We concluded that capture-recapture models can be considered reliable to estimate the total number of cases with eye conditions using incomplete information from registers. Accordingly, the method may be used to maintain updated epidemiological information about eye conditions helping to tackle the lack of surveillance information in many regions of the globe.
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spelling A review of capture-recapture methods and its possibilities in ophthalmology and vision sciencesCapture-recapturePrevalenceVision impairmentOphthalmologyOptometryCiências Médicas::Medicina ClínicaScience & TechnologyEpidemiological information is expected to be used to develop key aspects of eye care such as to control and minimise the impact of diseases, to allocate resources, to monitor public health actions, to determine the best treatment options and to forecast the consequence of diseases in populations. Epidemiological studies are expected to provide information about the prevalence and/or incidence of eye diseases or conditions. To determine prevalence is necessary to perform a cross-sectional screening of the population at risk to ascertain the number of cases.The aim of this review is to describe and evaluate capture-recapture methods (or models) to ascertaining the number of individuals with a disease (e.g. diabetic retinopathy) or condition (e.g. vision impairment) in the population.The review covers the fundamental aspects of capture-recapture methods that would enable non-experts in epidemiology to use it in ophthalmic studies. The review provides information about theoretical aspects of the method with examples of studies in ophthalmology in which it has been used. We also provide a problem/solution approach for limitations arising from the lists obtained from registers or other reliable sources.We concluded that capture-recapture models can be considered reliable to estimate the total number of cases with eye conditions using incomplete information from registers. Accordingly, the method may be used to maintain updated epidemiological information about eye conditions helping to tackle the lack of surveillance information in many regions of the globe.- This study was supported by FCT (COMPETE/QREN) grant reference [PTDC/DPT-EPI/0412/2012] in the context of the Prevalence and Costs of Visual Impairment in Portugal: a hospital-based study (PCVIP-study) and FCT Strategic Funding UID/FIS/04650/2013. PLR is funded by FCT (COMPETE/QREN) grant reference [SFRH/BD/119420/2016].Taylor & FrancisUniversidade do MinhoRamos, Pedro Alexandre Fernandes LimaSousa, InêsSantana, RuiMorgan, William H.Gordon, KeithCrewe, JulieRocha-Sousa, AmandioMacedo, António Filipe2020-05-052020-05-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/72735engRamos, P. L., Sousa, I., Santana, R., Morgan, W. H., et. al. (2020). A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences. Ophthalmic epidemiology, 27(4), 310-3240928-65861744-508610.1080/09286586.2020.174928632363970https://www.tandfonline.com/doi/full/10.1080/09286586.2020.1749286info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:49:21Zoai:repositorium.sdum.uminho.pt:1822/72735Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:59:43.557814Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
title A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
spellingShingle A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
Ramos, Pedro Alexandre Fernandes Lima
Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
Science & Technology
title_short A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
title_full A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
title_fullStr A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
title_full_unstemmed A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
title_sort A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
author Ramos, Pedro Alexandre Fernandes Lima
author_facet Ramos, Pedro Alexandre Fernandes Lima
Sousa, Inês
Santana, Rui
Morgan, William H.
Gordon, Keith
Crewe, Julie
Rocha-Sousa, Amandio
Macedo, António Filipe
author_role author
author2 Sousa, Inês
Santana, Rui
Morgan, William H.
Gordon, Keith
Crewe, Julie
Rocha-Sousa, Amandio
Macedo, António Filipe
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ramos, Pedro Alexandre Fernandes Lima
Sousa, Inês
Santana, Rui
Morgan, William H.
Gordon, Keith
Crewe, Julie
Rocha-Sousa, Amandio
Macedo, António Filipe
dc.subject.por.fl_str_mv Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
Science & Technology
topic Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
Science & Technology
description Epidemiological information is expected to be used to develop key aspects of eye care such as to control and minimise the impact of diseases, to allocate resources, to monitor public health actions, to determine the best treatment options and to forecast the consequence of diseases in populations. Epidemiological studies are expected to provide information about the prevalence and/or incidence of eye diseases or conditions. To determine prevalence is necessary to perform a cross-sectional screening of the population at risk to ascertain the number of cases.The aim of this review is to describe and evaluate capture-recapture methods (or models) to ascertaining the number of individuals with a disease (e.g. diabetic retinopathy) or condition (e.g. vision impairment) in the population.The review covers the fundamental aspects of capture-recapture methods that would enable non-experts in epidemiology to use it in ophthalmic studies. The review provides information about theoretical aspects of the method with examples of studies in ophthalmology in which it has been used. We also provide a problem/solution approach for limitations arising from the lists obtained from registers or other reliable sources.We concluded that capture-recapture models can be considered reliable to estimate the total number of cases with eye conditions using incomplete information from registers. Accordingly, the method may be used to maintain updated epidemiological information about eye conditions helping to tackle the lack of surveillance information in many regions of the globe.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-05
2020-05-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/72735
url http://hdl.handle.net/1822/72735
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ramos, P. L., Sousa, I., Santana, R., Morgan, W. H., et. al. (2020). A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences. Ophthalmic epidemiology, 27(4), 310-324
0928-6586
1744-5086
10.1080/09286586.2020.1749286
32363970
https://www.tandfonline.com/doi/full/10.1080/09286586.2020.1749286
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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