Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions

Detalhes bibliográficos
Autor(a) principal: Tallon, José M.
Data de Publicação: 2020
Outros Autores: Gomes, Paulo, Bacelar-Nicolau, Leonor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/44429
Resumo: © 2020 Tallon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially.
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spelling Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventionsCOVID-19Epidemiological variablesNon–pharmaceutical measures© 2020 Tallon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially.Introduction: It is essential to understand, on a large geographical scale, the dimension of the COVID–19 pandemic by identifying the most affected countries, knowing that all the world is suffering an unusual disruption regarding several health impacts, but also heavy economic, financial and social effects. A key role is reserved to Data Science to understand the present and to deepen a prospective analysis at COVID–19 day after. Objective: The main objective of the present study is to describe the COVID–19 prevalence in EU and five other OECD countries using five epidemiological variables. Secondly their association with non–pharmaceutical measures taken in some countries to control and attenuate the evolution of the epidemic was analyzed. Methods: The COVID–19 study covers twenty–six EU countries and additionally Switzerland, Norway, Turkey, Israel and United Kingdom. Five epidemiologic variables were analyzed by 100.000 inhabitants at the beginning of May 2020: total number of cases, total number of deaths, total number of active cases, total number of critical or serious cases and total number of tests. Also, eight non–pharmaceutical measures were selected for association purposes. A multivariate statistical exploratory approach with principal components, hierarchical and non–hierarchical (k–means) cluster analyses was applied. Results: A COVID–19 prevalence typology of four country clusters was identified regarding EU countries and five OECD countries on early May. In the two clusters, with a total of ten countries where the pandemic seemed to evolve more seriously, different patterns regarding the number of tests are observed. Two other clusters, with 12 and 9 countries, show an intermediate or low prevalence but differences in testing patterns. For EU countries of both clusters more affected, COVID–19 containment strategies were studied considering three modalities of implementation timing for eight non–pharmaceutical measures. The three different behaviors mirrored the clusters findings. Countries previously classified into cluster 1 appear together again, as do countries belonging to cluster 2. In spite of a common behavior for some measures, generally countries of cluster 2 implemented other interventions later in time. Sweden is a “special case”, taking just a few of these measures, most of them later than other countries.MedCrave GroupRepositório da Universidade de LisboaTallon, José M.Gomes, PauloBacelar-Nicolau, Leonor2020-09-25T16:04:55Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/44429engBiom Biostat Int J. 2020;9(4):118-13010.15406/bbij.2020.09.003092378-315Xinfo: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:RCAAP2023-11-08T16:45:29Zoai:repositorio.ul.pt:10451/44429Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:57:00.492288Repositório 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 Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
title Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
spellingShingle Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
Tallon, José M.
COVID-19
Epidemiological variables
Non–pharmaceutical measures
title_short Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
title_full Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
title_fullStr Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
title_full_unstemmed Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
title_sort Profiling european countries on COVID–19 prevalence and association with non–pharmaceutical interventions
author Tallon, José M.
author_facet Tallon, José M.
Gomes, Paulo
Bacelar-Nicolau, Leonor
author_role author
author2 Gomes, Paulo
Bacelar-Nicolau, Leonor
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Tallon, José M.
Gomes, Paulo
Bacelar-Nicolau, Leonor
dc.subject.por.fl_str_mv COVID-19
Epidemiological variables
Non–pharmaceutical measures
topic COVID-19
Epidemiological variables
Non–pharmaceutical measures
description © 2020 Tallon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-25T16:04:55Z
2020
2020-01-01T00:00:00Z
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/10451/44429
url http://hdl.handle.net/10451/44429
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biom Biostat Int J. 2020;9(4):118-130
10.15406/bbij.2020.09.00309
2378-315X
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 MedCrave Group
publisher.none.fl_str_mv MedCrave Group
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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