A review of capture-recapture methods and its possibilities in ophthalmology and vision sciences
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , , , , , |
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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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 |
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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 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
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