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        Early forecasting of the potential risk zones of COVID-19 in China's megacities

        Registration in:
        0048-9697
        https://doi.org/10.1016/j.scitotenv.2020.138995
        http://hdl.handle.net/20.500.12010/10638
        https://doi.org/10.1016/j.scitotenv.2020.138995
        http://repositorioslatinoamericanos.uchile.cl/handle/2250/3498869
        Author
        Ren, Hongyan
        Zhao, Lu
        Zhang, An
        Song, Liuyi
        Liao, Yilan
        Lu, Weili
        Cui, Cheng
        Institutions
        • Universidad Jorge Tadeo Lozano (Colombia)
        Abstract
        Recently, the coronavirus disease 2019 (COVID-19) has become a worldwide public health threat. Early and quick identification of the potential risk zones of COVID-19 infection is increasingly vital for the megacities implementing targeted infection prevention and control measures. In this study, the communities with confirmed cases during January 21–February 27 were collected and considered as the specific epidemic data for Beijing, Guangzhou, and Shenzhen. We evaluated the spatiotemporal variations of the epidemics before utilizing the ecological niche models (ENM) to assemble the epidemic data and nine socioeconomic variables for identifying the potential risk zones of this infection in these megacities. Three megacities were differentiated by the spatial patterns and quantities of infected communities, average cases per community, the percentages of imported cases, as well as the potential risks, although their COVID-19 infection situations have been preliminarily contained to date. With higher risks that were predominated by various influencing factors in each megacity, the potential risk zones coverd about 75% to 100% of currently infected communities. Our results demonstrate that the ENM method was capable of being employed as an early forecasting tool for identifying the potential COVID-19 infection risk zones on a fine scale. We suggest that local hygienic authorities should keep their eyes on the epidemic in each megacity for sufficiently implementing and adjusting their interventions in the zones with more residents or probably crowded places. This study would provide useful clues for relevant hygienic departments making quick responses to increasingly severe epidemics in similar megacities in the world.
        Subjects
        COVID-19
        Ecological niche model
        China's megacities
        Risk zones
        Early forecasting

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        Red de Repositorios Latinoamericanos
        + of 8.000.000
        Available publications
        500 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
        • Argentinean Theses
        • Chilean Theses
        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018