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  1. Article ; Online: Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data.

    Weinstein, Bayarmagnai / da Silva, Alan R / Kouzoukas, Dimitrios E / Bose, Tanima / Kim, Gwang-Jin / Correa, Paola A / Pondugula, Santhi / Lee, YoonJung / Kim, Jihoo / Carpenter, David O

    International journal of environmental research and public health

    2021  Volume 18, Issue 2

    Abstract: ... 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 ... The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and ...

    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.
    MeSH term(s) COVID-19/epidemiology ; Health Behavior ; Health Services Accessibility ; Humans ; Incidence ; Physical Distancing ; Republic of Korea/epidemiology ; Risk Factors ; Risk-Taking ; SARS-CoV-2 ; Socioeconomic Factors ; Spatial Analysis ; Vulnerable Populations
    Language English
    Publishing date 2021-01-12
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph18020604
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data

    Bayarmagnai Weinstein / Alan R. da Silva / Dimitrios E. Kouzoukas / Tanima Bose / Gwang-Jin Kim / Paola A. Correa / Santhi Pondugula / YoonJung Lee / Jihoo Kim / David O. Carpenter

    International Journal of Environmental Research and Public Health, Vol 18, Iss 604, p

    2021  Volume 604

    Abstract: ... 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 ... The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and ...

    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.
    Keywords COVID-19 ; pandemics ; socioeconomic factors ; spatial regression ; South Korea ; Medicine ; R
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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