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Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection.
Wu, Sijin; Huang, Zhejun; Grant-Muller, Susan; Gu, Dongfeng; Yang, Lili.
Affiliation
  • Wu S; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Huang Z; Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT, UK.
  • Grant-Muller S; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Gu D; Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT, UK.
  • Yang L; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China.
Sci Rep ; 13(1): 7343, 2023 05 05.
Article in En | MEDLINE | ID: mdl-37147332
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Limits: Humans Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Limits: Humans Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: