A study on the quality of novel coronavirus (COVID-19) official datasets

Detalhes bibliográficos
Autor(a) principal: Ashofteh, Afshin
Data de Publicação: 2020
Outros Autores: Bravo, Jorge M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/100430
Resumo: Ashofteh, A., & Bravo, J. M. (2020). A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301. https://doi.org/10.3233/SJI-200674
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spelling A study on the quality of novel coronavirus (COVID-19) official datasetscoronavirus disease (COVID-19)data qualityepidemiologyhealth emergencymeasurement errorofficial statisticspublic healthSARS-CoV-2Management Information SystemsEconomics and EconometricsStatistics, Probability and UncertaintySDG 3 - Good Health and Well-beingAshofteh, A., & Bravo, J. M. (2020). A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301. https://doi.org/10.3233/SJI-200674Policy makers depend on complex epidemiological models that are compelled to be robust, realistic, defendable and consistent with all relevant available data disclosed by official authorities which is deemed to have the highest quality standards. This paper analyses and compares the quality of official datasets available for COVID-19. We used comparative statistical analysis to evaluate the accuracy of data collection by a national (Chinese Center for Disease Control and Prevention) and two international (World Health Organization; European Centre for Disease Prevention and Control) organisations based on the value of systematic measurement errors. We combined excel files, text mining techniques and manual data entries to extract the COVID-19 data from official reports and to generate an accurate profile for comparisons. The findings show noticeable and increasing measurement errors in the three datasets as the pandemic outbreak expanded and more countries contributed data for the official repositories, raising data comparability concerns and pointing to the need for better coordination and harmonized statistical methods. The study offers a COVID-19 combined dataset and dashboard with minimum systematic measurement errors, and valuable insights into the potential problems in using databanks without carefully examining the metadata and additional documentation that describe the overall context of data.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNAshofteh, AfshinBravo, Jorge M.2020-07-06T22:48:33Z2020-06-012020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttp://hdl.handle.net/10362/100430eng1874-7655PURE: 18892089https://doi.org/10.3233/SJI-200674info: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:RCAAP2024-03-11T04:46:46Zoai:run.unl.pt:10362/100430Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:19.865980Repositório 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 study on the quality of novel coronavirus (COVID-19) official datasets
title A study on the quality of novel coronavirus (COVID-19) official datasets
spellingShingle A study on the quality of novel coronavirus (COVID-19) official datasets
Ashofteh, Afshin
coronavirus disease (COVID-19)
data quality
epidemiology
health emergency
measurement error
official statistics
public health
SARS-CoV-2
Management Information Systems
Economics and Econometrics
Statistics, Probability and Uncertainty
SDG 3 - Good Health and Well-being
title_short A study on the quality of novel coronavirus (COVID-19) official datasets
title_full A study on the quality of novel coronavirus (COVID-19) official datasets
title_fullStr A study on the quality of novel coronavirus (COVID-19) official datasets
title_full_unstemmed A study on the quality of novel coronavirus (COVID-19) official datasets
title_sort A study on the quality of novel coronavirus (COVID-19) official datasets
author Ashofteh, Afshin
author_facet Ashofteh, Afshin
Bravo, Jorge M.
author_role author
author2 Bravo, Jorge M.
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Ashofteh, Afshin
Bravo, Jorge M.
dc.subject.por.fl_str_mv coronavirus disease (COVID-19)
data quality
epidemiology
health emergency
measurement error
official statistics
public health
SARS-CoV-2
Management Information Systems
Economics and Econometrics
Statistics, Probability and Uncertainty
SDG 3 - Good Health and Well-being
topic coronavirus disease (COVID-19)
data quality
epidemiology
health emergency
measurement error
official statistics
public health
SARS-CoV-2
Management Information Systems
Economics and Econometrics
Statistics, Probability and Uncertainty
SDG 3 - Good Health and Well-being
description Ashofteh, A., & Bravo, J. M. (2020). A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301. https://doi.org/10.3233/SJI-200674
publishDate 2020
dc.date.none.fl_str_mv 2020-07-06T22:48:33Z
2020-06-01
2020-06-01T00:00:00Z
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/10362/100430
url http://hdl.handle.net/10362/100430
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1874-7655
PURE: 18892089
https://doi.org/10.3233/SJI-200674
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
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
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
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