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

Authors
  • Weinstein, Bayarmagnai
  • Silva, Alan Ricardo da
  • Kouzoukas, Dimitrios E.
  • Bose, Tanima
  • Kim, Gwang-Jin
  • Correa, Paola A.
  • Pondugula, Santhi
  • Lee, YoonJung
  • Kim, Jihoo
  • Carpenter, David O.
Publication Date
Jan 12, 2021
Source
Repositório Institucional da Universidade de Brasília
Keywords
License
Unknown
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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 (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.

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