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作者:

Zhang, Nan (Zhang, Nan.) (学者:张楠) | Chan, Pak-To Jack (Chan, Pak-To Jack.) | Jia, Wei (Jia, Wei.) (学者:魏佳) | Dung, Chung-Hin (Dung, Chung-Hin.) | Zhao, Pengcheng (Zhao, Pengcheng.) | Lei, Hao (Lei, Hao.) | Su, Boni (Su, Boni.) | Xue, Peng (Xue, Peng.) (学者:薛鹏) | Zhang, Weirong (Zhang, Weirong.) | Xie, Jingchao (Xie, Jingchao.) (学者:谢静超) | Li, Yuguo (Li, Yuguo.)

收录:

SCIE

摘要:

By the end of February 2021, COVID-19 had spread to over 230 countries, with more than 100 million confirmed cases and 2.5 million deaths. To control infection spread with the least disruption to economic and societal activities, it is crucial to implement the various interventions effectively. In this study, we developed an agentbased SEIR model, using real demographic and geographic data from Hong Kong, to analyse the efficiency of various intervention strategies in preventing infection by the SARS-CoV-2 virus. Close contact route including short-range airborne is considered as the main transmission routes for COVID-19 spread. Contact tracing is not that useful if all other interventions have been fully deployed. The number of infected individuals could be halved if people reduced their close contact rate by 25%. For reducing transmission, students should be prioritized for vaccination rather than retired older people and preschool aged children. Home isolation, and taking the nucleic acid test (NAT) as soon as possible after symptom onset, are much more effective interventions than wearing masks in public places. Temperature screening in public places only disrupted the infection spread by a small amount when other interventions have been fully implemented. Our results may be useful for other highly populated cities, when choosing their intervention strategies to prevent outbreaks of COVID-19 and similar diseases.

关键词:

Close contact COVID-19 Mask SEIR model Temperature screening Vaccine

作者机构:

  • [ 1 ] [Zhang, Nan]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 2 ] [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 3 ] [Zhang, Weirong]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 4 ] [Xie, Jingchao]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing, Peoples R China
  • [ 5 ] [Zhang, Nan]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 6 ] [Chan, Pak-To Jack]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 7 ] [Jia, Wei]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 8 ] [Dung, Chung-Hin]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 9 ] [Zhao, Pengcheng]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 10 ] [Li, Yuguo]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China
  • [ 11 ] [Jia, Wei]Univ Hong Kong, Zhejiang Inst Res & Innovat, Lin An, Zhejiang, Peoples R China
  • [ 12 ] [Lei, Hao]Zhejiang Univ, Sch Publ Hlth, Hangzhou, Peoples R China
  • [ 13 ] [Su, Boni]China Elect Power Planning & Engn Inst, Beijing, Peoples R China

通讯作者信息:

  • [Li, Yuguo]Univ Hong Kong, Dept Mech Engn, Hong Kong, Sar, Peoples R China

电子邮件地址:

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来源 :

ENVIRONMENT INTERNATIONAL

ISSN: 0160-4120

年份: 2021

卷: 156

1 1 . 8 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:7

被引次数:

WoS核心集被引频次: 20

SCOPUS被引频次: 19

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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