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

Medientyp: E-Book; Sonderdruck
Titel: Precision mapping of COVID-19 vulnerable locales by epidemiological and socioeconomic risk factors, developed using South Korean data
Beteiligte: Weinstein, Bayarmagnai [Verfasser:in]; Silva, Alan Ricardo da [Verfasser:in]; Kouzoukas, Dimitrios E. [Verfasser:in]; Bose, Tanima [Verfasser:in]; Kim, Gwang Jin [Verfasser:in]; Correa, Paola A. [Verfasser:in]; Pondugula, Santhi [Verfasser:in]; Lee, YoonJung [Verfasser:in]; Kim, Jihoo [Verfasser:in]; Carpenter, David O. [Verfasser:in]
Erschienen: Basel: MDPI, 2021
Erschienen in: International journal of environmental research and public health ; 18, 2 (2021), 604
Umfang: 1 Online-Ressource (14 Seiten); Diagramme; Supplementary material (1 PDF-Datei, 4 Seiten)
Sprache: Englisch
DOI: 10.3390/ijerph18020604
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Beschreibung: Abstract: COVID-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 (20 January 2020 to 1 July 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
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