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

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Resumo: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.
Autores principais:Ramos, Pedro Alexandre Fernandes Lima
Outros Autores:Sousa, Inês; Santana, Rui; Morgan, William H.; Gordon, Keith; Crewe, Julie; Rocha-Sousa, Amandio; Macedo, António Filipe
Assunto:Capture-recapture Prevalence Vision impairment Ophthalmology Optometry Ciências Médicas::Medicina Clínica
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
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author Ramos, Pedro Alexandre Fernandes Lima
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
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
contributor_name_str_mv RepositóriUM - Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Ramos, Pedro Alexandre Fernandes Lima\"},{\"Person.name\":\"Sousa, Inês\"},{\"Person.name\":\"Santana, Rui\"},{\"Person.name\":\"Morgan, William H.\"},{\"Person.name\":\"Gordon, Keith\"},{\"Person.name\":\"Crewe, Julie\"},{\"Person.name\":\"Rocha-Sousa, Amandio\"},{\"Person.name\":\"Macedo, António Filipe\"}]
datacite.contributors.contributor.contributorName.fl_str_mv RepositóriUM - Universidade do Minho
datacite.creators.creator.creatorName.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
datacite.date.Accepted.fl_str_mv 2020-05-05T00:00:00Z
datacite.date.available.fl_str_mv 2021-05-19T16:37:26Z
datacite.date.embargoed.fl_str_mv 2021-05-19T16:37:26Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
datacite.titles.title.fl_str_mv A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
dc.contributor.none.fl_str_mv RepositóriUM - Universidade do Minho
dc.creator.none.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.date.Accepted.fl_str_mv 2020-05-05T00:00:00Z
dc.date.available.fl_str_mv 2021-05-19T16:37:26Z
dc.date.embargoed.fl_str_mv 2021-05-19T16:37:26Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/72735
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Taylor & Francis
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
dc.title.fl_str_mv A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
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.
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eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://repositorium.uminho.pt/bitstreams/0d2474c6-bb62-4df6-9f77-b56ca8e7b88d/download
id rum_ea79d47bd520f06bb2aaf5c5bba8d8df
identifier.url.fl_str_mv https://hdl.handle.net/1822/72735
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/72735
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Ramos, Pedro Alexandre Fernandes Lima
Sousa, Inês
Santana, Rui
Morgan, William H.
Gordon, Keith
Crewe, Julie
Rocha-Sousa, Amandio
Macedo, António Filipe
publishDate 2020
publisher.none.fl_str_mv Taylor & Francis
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engTaylor & FrancisporEpidemiological 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.application/pdfporA review of capture-recapture methods and its possibilities in ophthalmology and vision sciencesRamos, Pedro Alexandre Fernandes LimaSousa, InêsSantana, RuiMorgan, William H.Gordon, KeithCrewe, JulieRocha-Sousa, AmandioMacedo, António FilipeHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONRamos, 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), 310-324PMID32363970ISSNIsPartOf0928-6586ISSNIsPartOf32363970EISSNIsPartOf1744-5086DOIIsPartOf10.1080/09286586.2020.17492862021-05-19T16:37:26Z2020-05-052021-05-19T09:04:50Z2020-05-05T00:00:00ZHandlehttps://hdl.handle.net/1822/72735http://purl.org/coar/access_right/c_abf2open accessCapture-recapturePrevalenceVision impairmentOphthalmologyOptometryhttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Médicas::Medicina Clínica1921740 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/0d2474c6-bb62-4df6-9f77-b56ca8e7b88d/download
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
status SINGLETON
subject.fl_str_mv Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
subject.other.fl_str_mv Ciências Médicas::Medicina Clínica
title 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_short 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
topic Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
topic_facet Capture-recapture
Prevalence
Vision impairment
Ophthalmology
Optometry
Ciências Médicas::Medicina Clínica
url https://hdl.handle.net/1822/72735
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