Precision mapping of COVID-19 vulnerable locales by epidemiological and socioeconomic risk factors, developed using South Korean data

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Autor(es): dc.creatorWeinstein, Bayarmagnai-
Autor(es): dc.creatorSilva, Alan Ricardo da-
Autor(es): dc.creatorKouzoukas, Dimitrios E.-
Autor(es): dc.creatorBose, Tanima-
Autor(es): dc.creatorKim, Gwang-Jin-
Autor(es): dc.creatorCorrea, Paola A.-
Autor(es): dc.creatorPondugula, Santhi-
Autor(es): dc.creatorLee, YoonJung-
Autor(es): dc.creatorKim, Jihoo-
Autor(es): dc.creatorCarpenter, David O.-
Data de aceite: dc.date.accessioned2021-10-14T17:52:51Z-
Data de disponibilização: dc.date.available2021-10-14T17:52:51Z-
Data de envio: dc.date.issued2021-01-13-
Data de envio: dc.date.issued2021-01-13-
Data de envio: dc.date.issued2021-01-11-
Fonte completa do material: dc.identifierhttps://repositorio.unb.br/handle/10482/39908-
Fonte completa do material: dc.identifierhttps://doi.org/10.3390/ijerph18020604-
Fonte completa do material: dc.identifierhttps://orcid.org/0000-0003-3035-649X-
Fonte completa do material: dc.identifierhttps://orcid.org/0000-0002-1922-670X-
Fonte completa do material: dc.identifierhttps://orcid.org/0000-0003-1151-1140-
Fonte completa do material: dc.identifierhttps://orcid.org/0000-0003-4841-394X-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/618385-
Descrição: dc.descriptionCOVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (January 20, 2020 to July 1, 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal component analysis. The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and population mobility, and with lower social distancing, healthcare access, and education. Falling COVID-19 risks and spatial shifts over three consecutive time periods reflected effective public health interventions. This study provides a globally replicable methodological framework and precision mapping for COVID-19 and future pandemics.-
Formato: dc.formatapplication/pdf-
Publicador: dc.publisherMDPI-
Direitos: dc.rightsAcesso Aberto-
Direitos: dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons. org/licenses/by/4.0/).-
Palavras-chave: dc.subjectCovid-19-
Palavras-chave: dc.subjectEpidemias-
Palavras-chave: dc.subjectFatores socioeconômicos-
Palavras-chave: dc.subjectEstatística-
Palavras-chave: dc.subjectCoreia do Sul-
Título: dc.titlePrecision mapping of COVID-19 vulnerable locales by epidemiological and socioeconomic risk factors, developed using South Korean data-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional – UNB

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