A framework for using epidemiology in animal welfare Science

Detalhes bibliográficos
Autor(a) principal: Mata, Fernando
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.11960/3816
Resumo: The potential advantages of using epidemiology in animal welfare research are substantial and are used with increased frequency. Collaboration between scientists of different fields, with different specific expertise is advantageous in the advancement of science. In this review, a framework to use epidemiology in animal welfare science is established. The different epidemiological study designs and analytical procedures are explored and put in an animal welfare scientific context. It is argued and demonstrated that epidemiology is used with advantage: in the identification of risk factors behind the development of maladaptation and abnormal behaviors; in the introduction of standardized procedures in research allowing comparisons between studies and facilitating the integration for evidence synthesis in systematic reviews and meta-analysis; by allowing animal welfare scientists to analyze complex settings such as farms or zoos. Mathematical modeling can also be used with advantage in risk assessment.
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spelling A framework for using epidemiology in animal welfare ScienceAnimal welfareCase-controlCohortCross-sectionalEpidemiologyThe potential advantages of using epidemiology in animal welfare research are substantial and are used with increased frequency. Collaboration between scientists of different fields, with different specific expertise is advantageous in the advancement of science. In this review, a framework to use epidemiology in animal welfare science is established. The different epidemiological study designs and analytical procedures are explored and put in an animal welfare scientific context. It is argued and demonstrated that epidemiology is used with advantage: in the identification of risk factors behind the development of maladaptation and abnormal behaviors; in the introduction of standardized procedures in research allowing comparisons between studies and facilitating the integration for evidence synthesis in systematic reviews and meta-analysis; by allowing animal welfare scientists to analyze complex settings such as farms or zoos. Mathematical modeling can also be used with advantage in risk assessment.2024-01-11T17:37:59Z2023-10-01T00:00:00Z2023-102022-12-21T14:19:21Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/3816eng10.1080/10888705.2021.1981902Mata, Fernandoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-18T09:41:19Zoai:repositorio.ipvc.pt:20.500.11960/3816Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:51:59.670343Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A framework for using epidemiology in animal welfare Science
title A framework for using epidemiology in animal welfare Science
spellingShingle A framework for using epidemiology in animal welfare Science
Mata, Fernando
Animal welfare
Case-control
Cohort
Cross-sectional
Epidemiology
title_short A framework for using epidemiology in animal welfare Science
title_full A framework for using epidemiology in animal welfare Science
title_fullStr A framework for using epidemiology in animal welfare Science
title_full_unstemmed A framework for using epidemiology in animal welfare Science
title_sort A framework for using epidemiology in animal welfare Science
author Mata, Fernando
author_facet Mata, Fernando
author_role author
dc.contributor.author.fl_str_mv Mata, Fernando
dc.subject.por.fl_str_mv Animal welfare
Case-control
Cohort
Cross-sectional
Epidemiology
topic Animal welfare
Case-control
Cohort
Cross-sectional
Epidemiology
description The potential advantages of using epidemiology in animal welfare research are substantial and are used with increased frequency. Collaboration between scientists of different fields, with different specific expertise is advantageous in the advancement of science. In this review, a framework to use epidemiology in animal welfare science is established. The different epidemiological study designs and analytical procedures are explored and put in an animal welfare scientific context. It is argued and demonstrated that epidemiology is used with advantage: in the identification of risk factors behind the development of maladaptation and abnormal behaviors; in the introduction of standardized procedures in research allowing comparisons between studies and facilitating the integration for evidence synthesis in systematic reviews and meta-analysis; by allowing animal welfare scientists to analyze complex settings such as farms or zoos. Mathematical modeling can also be used with advantage in risk assessment.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-21T14:19:21Z
2023-10-01T00:00:00Z
2023-10
2024-01-11T17:37:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/20.500.11960/3816
url http://hdl.handle.net/20.500.11960/3816
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1080/10888705.2021.1981902
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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