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DOI10.1073/pnas.2012002117
Global COVID-19 pandemic demands joint interventions for the suppression of future waves
Li R.; Chen B.; Zhang T.; Ren Z.; Song Y.; Xiao Y.; Hou L.; Cai J.; Xu B.; Li M.; Chan K.K.Y.; Tu Y.; Yang M.; Yang J.; Liu Z.; Shen C.; Wang C.; Xu L.; Liu Q.; Bao S.; Zhang J.; Bi Y.; Bai Y.; Deng K.; Zhang W.; Huang W.; Whittington J.D.; Stenseth N.C.; Guan D.; Gong P.; Xu B.
发表日期2020
ISSN0027-8424
起始页码26151
结束页码26157
卷号117期号:42
英文摘要Emerging evidence suggests a resurgence of COVID-19 in the coming years. It is thus critical to optimize emergency response planning from a broad, integrated perspective. We developed a mathematical model incorporating climate-driven variation in community transmissions and movement-modulated spatial diffusions of COVID-19 into various intervention scenarios. We find that an intensive 8-wk intervention targeting the reduction of local transmissibility and international travel is efficient and effective. Practically, we suggest a tiered implementation of this strategy where interventions are first implemented at locations in what we call the Global Intervention Hub, followed by timely interventions in secondary high-risk locations. We argue that thinking globally, categorizing locations in a hub-and-spoke intervention network, and acting locally, applying interventions at high-risk areas, is a functional strategy to avert the tremendous burden that would otherwise be placed on public health and society. © 2020 National Academy of Sciences. All rights reserved.
英文关键词Climate; Disease transmission; Hierarchical intervention network; Human behavior; International collaboration
语种英语
scopus关键词Article; climate change; coronavirus disease 2019; high risk population; human; major clinical study; mathematical model; pandemic; population density; priority journal; public health; virus transmission; Betacoronavirus; climate; communicable disease; communicable disease control; Coronavirus infection; disease transmission; forecasting; global health; international cooperation; pandemic; prevention and control; procedures; theoretical model; travel; virus pneumonia; Betacoronavirus; Climate; Communicable Disease Control; Communicable Diseases, Emerging; Coronavirus Infections; Disease Transmission, Infectious; Forecasting; Global Health; Humans; International Cooperation; Models, Theoretical; Pandemics; Pneumonia, Viral; Travel
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/160756
作者单位Li, R., Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China, Tsinghua Urban Institute, Tsinghua University, Beijing, 100084, China, Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, 100084, China, MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, United Kingdom; Chen, B., Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, United States; Zhang, T., Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China, Tsinghua Urban Institute, Tsinghua University, Beijing, 100084, China, Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, 100084, China; Ren, Z., Ministry...
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Li R.,Chen B.,Zhang T.,et al. Global COVID-19 pandemic demands joint interventions for the suppression of future waves[J],2020,117(42).
APA Li R..,Chen B..,Zhang T..,Ren Z..,Song Y..,...&Xu B..(2020).Global COVID-19 pandemic demands joint interventions for the suppression of future waves.Proceedings of the National Academy of Sciences of the United States of America,117(42).
MLA Li R.,et al."Global COVID-19 pandemic demands joint interventions for the suppression of future waves".Proceedings of the National Academy of Sciences of the United States of America 117.42(2020).
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