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Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) - China, 2022.
Bai, Yuan; Xu, Mingda; Liu, Caifen; Shen, Mingwang; Wang, Lin; Tian, Linwei; Tan, Suoyi; Zhang, Lei; Holme, Petter; Lu, Xin; Lau, Eric H Y; Cowling, Benjamin J; Du, Zhanwei.
  • Bai Y; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Xu M; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China.
  • Liu C; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Shen M; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China.
  • Wang L; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an City, Shaanxi Province, China.
  • Tian L; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.
  • Tan S; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Zhang L; College of Systems Engineering, National University of Defense Technology, Changsha City, Hunan Province, China.
  • Holme P; China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an City, Shaanxi Province, China.
  • Lu X; Department of Computer Science, Aalto University, Espoo, Finland.
  • Lau EHY; Center for Computational Social Science, Kobe University, Kobe, Japan.
  • Cowling BJ; College of Systems Engineering, National University of Defense Technology, Changsha City, Hunan Province, China.
  • Du Z; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
China CDC Wkly ; 4(40): 885-889, 2022 Oct 07.
Artículo en Inglés | MEDLINE | ID: covidwho-2067699
ABSTRACT

Introduction:

Minimizing the importation and exportation risks of coronavirus disease 2019 (COVID-19) is a primary concern for sustaining the "Dynamic COVID-zero" strategy in China. Risk estimation is essential for cities to conduct before relaxing border control measures.

Methods:

Informed by the daily number of passengers traveling between 367 prefectures (cities) in China, this study used a stochastic metapopulation model parameterized with COVID-19 epidemic characteristics to estimate the importation and exportation risks.

Results:

Under the transmission scenario (R0 =5.49), this study estimated the cumulative case incidence of Changchun City, Jilin Province as 3,233 (95% confidence interval 1,480, 4,986) before a lockdown on March 14, 2022, which is close to the 3,168 cases reported in real life by March 16, 2022. In a total of 367 prefectures (cities), 127 (35%) had high exportation risks according to the simulation and could transmit the disease to 50% of all other regions within a period from 17 to 94 days. The average time until a new infection arrives in a location in 1 of the 367 prefectures (cities) ranged from 26 to 101 days.

Conclusions:

Estimating COVID-19 importation and exportation risks is necessary for preparedness, prevention, and control measures of COVID-19 - especially when new variants emerge.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Variantes Idioma: Inglés Revista: China CDC Wkly Año: 2022 Tipo del documento: Artículo País de afiliación: Ccdcw2022.184

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Variantes Idioma: Inglés Revista: China CDC Wkly Año: 2022 Tipo del documento: Artículo País de afiliación: Ccdcw2022.184