Early forecasting of the potential risk zones of COVID-19 in China's megacities
文献类型：期刊论文
| 作者 | Ren, Hongyan1,2 ; Zhao, Lu1,2; Zhang, An1,2; Song, Liuyi1,2; Liao, Yilan1,2; Lu, Weili1,2; Cui, Cheng1,2
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| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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| 出版日期 | 2020-08-10 |
| 卷号 | 729页码:8 |
| 关键词 | COVID-19 Ecological niche model China's megacities Risk zones Early forecasting |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2020.138995 |
| 通讯作者 | Ren, Hongyan(renhy@igsnrr.ac.cn) ; Zhang, An(zhangan@igsnrr.ac.cn) |
| 英文摘要 | 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. (c) 2020 Elsevier B.V. All rights reserved. |
| WOS关键词 | OUTBREAKS |
| 资助项目 | National Natural Science Foundation of China[41571158] ; National Key Research and Development Program of China[2017YFB0503500] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000537433400018 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159572]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Hongyan; Zhang, An |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ren, Hongyan,Zhao, Lu,Zhang, An,et al. Early forecasting of the potential risk zones of COVID-19 in China's megacities[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,729:8. |
| APA | Ren, Hongyan.,Zhao, Lu.,Zhang, An.,Song, Liuyi.,Liao, Yilan.,...&Cui, Cheng.(2020).Early forecasting of the potential risk zones of COVID-19 in China's megacities.SCIENCE OF THE TOTAL ENVIRONMENT,729,8. |
| MLA | Ren, Hongyan,et al."Early forecasting of the potential risk zones of COVID-19 in China's megacities".SCIENCE OF THE TOTAL ENVIRONMENT 729(2020):8. |
入库方式： OAI收割
来源：地理科学与资源研究所
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