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Author:

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

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

COVID-19 SEIR model Temperature screening Vaccine Mask Close contact

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

ENVIRONMENT INTERNATIONAL

ISSN: 0160-4120

Year: 2021

Volume: 156

1 1 . 8 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:94

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 22

SCOPUS Cited Count: 22

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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