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Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space.
Ge, Yong; Zhang, Wen-Bin; Liu, Haiyan; Ruktanonchai, Corrine W; Hu, Maogui; Wu, Xilin; Song, Yongze; Ruktanonchai, Nick W; Yan, Wei; Cleary, Eimear; Feng, Luzhao; Li, Zhongjie; Yang, Weizhong; Liu, Mengxiao; Tatem, Andrew J; Wang, Jin-Feng; Lai, Shengjie.
  • Ge Y; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Zhang WB; College of Resources and Environment, University of Academy of Sciences, Beijing, China.
  • Liu H; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Ruktanonchai CW; College of Resources and Environment, University of Academy of Sciences, Beijing, China.
  • Hu M; Marine Data Center, South Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
  • Wu X; Population Health Sciences, Virginia Tech, Blacksburg, VA, USA.
  • Song Y; WorldPop, School of Geography and Environmental Science, University of Southampton, UK.
  • Ruktanonchai NW; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Yan W; College of Resources and Environment, University of Academy of Sciences, Beijing, China.
  • Cleary E; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Feng L; College of Resources and Environment, University of Academy of Sciences, Beijing, China.
  • Li Z; School of Design and the Built Environment, Curtin University, Perth, 6101, Australia.
  • Yang W; Population Health Sciences, Virginia Tech, Blacksburg, VA, USA.
  • Liu M; WorldPop, School of Geography and Environmental Science, University of Southampton, UK.
  • Tatem AJ; Respiratory Medicine Department, Peking University Third Hospital, Beijing, China.
  • Wang JF; WorldPop, School of Geography and Environmental Science, University of Southampton, UK.
  • Lai S; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Int J Appl Earth Obs Geoinf ; 106: 102649, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1561473
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ABSTRACT
Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines / Variants Language: English Journal: Int J Appl Earth Obs Geoinf Year: 2022 Document Type: Article Affiliation country: J.jag.2021.102649

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines / Variants Language: English Journal: Int J Appl Earth Obs Geoinf Year: 2022 Document Type: Article Affiliation country: J.jag.2021.102649