Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space
文献类型:期刊论文
作者 | Ge, Yong1,2; Zhang, Wen-Bin2; Liu, Haiyan3; Ruktanonchai, Corrine W.4,5; Hu, Maogui1,2; Wu, Xilin1,2; Song, Yongze6; Ruktanonchai, Nick W.5; Yan, Wei7; Cleary, Eimear5 |
刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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出版日期 | 2022-02-01 |
卷号 | 106页码:9 |
关键词 | COVID-19 Big data Non-pharmaceutical interventions Multi-scale Effectiveness |
ISSN号 | 1569-8432 |
DOI | 10.1016/j.jag.2021.102649 |
通讯作者 | Ge, Yong() ; Lai, Shengjie() |
英文摘要 | Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID19 pandemic. However, the effect of these individual NPI measures across space and time has yet to be sufficiently assessed, especially with the increase of policy fatigue and the urge for NPI relaxation in the vaccination era. Using the decay ratio in the suppression of COVID-19 infections and multi-source big data, we investigated the changing performance of different NPIs across waves from global and regional levels (in 133 countries) to national and subnational (in the United States of America [USA]) scales before the implementation of mass vaccination. The synergistic effectiveness of all NPIs for reducing COVID-19 infections declined along waves, from 95.4% in the first wave to 56.0% in the third wave recently at the global level and similarly from 83.3% to 58.7% at the USA national level, while it had fluctuating performance across waves on regional and subnational scales. Regardless of geographical scale, gathering restrictions and facial coverings played significant roles in epidemic mitigation before the vaccine rollout. Our findings have important implications for continued tailoring and implementation of NPI strategies, together with vaccination, to mitigate future COVID-19 waves, caused by new variants, and other emerging respiratory infectious diseases. |
资助项目 | National Natural Science Foundation of China[41725006] ; National Natural Science Foundation of China[81773498] ; Bill & Melinda Gates Foundation[INV-024911] ; Bill & Melinda Gates Foundation[OPP1134076] ; Beijing Natural Science Foundation[7212128] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000736855100005 |
出版者 | ELSEVIER |
资助机构 | National Natural Science Foundation of China ; Bill & Melinda Gates Foundation ; Beijing Natural Science Foundation |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/169099] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Ge, Yong; Lai, Shengjie |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.South Marine Sci & Engn Guangdong Lab Zhuhai, Marine Data Ctr, Zhuhai, Peoples R China 4.Virginia Tech, Populat Hlth Sci, Blacksburg, VA USA 5.Univ Southampton, Sch Geog & Environm Sci, WorldPop, Southampton, Hants, England 6.Curtin Univ, Sch Design & Built Environm, Perth, WA 6101, Australia 7.Peking Univ Third Hosp, Dept Resp Med, Beijing, Peoples R China 8.Chinese Acad Med Sci & Peking Union Med Coll, Sch Populat Med & Publ Hlth, Beijing, Peoples R China 9.Chinese Ctr Dis Control & Prevent, Div Infect Dis, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Ge, Yong,Zhang, Wen-Bin,Liu, Haiyan,et al. Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2022,106:9. |
APA | Ge, Yong.,Zhang, Wen-Bin.,Liu, Haiyan.,Ruktanonchai, Corrine W..,Hu, Maogui.,...&Lai, Shengjie.(2022).Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,106,9. |
MLA | Ge, Yong,et al."Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 106(2022):9. |
入库方式: OAI收割
来源:地理科学与资源研究所
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