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Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022

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 d...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579982/
https://www.ncbi.nlm.nih.gov/pubmed/36285319
http://dx.doi.org/10.46234/ccdcw2022.184
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author 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
author_facet 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
author_sort Bai, Yuan
collection PubMed
description 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 (R(0)=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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spelling pubmed-95799822022-10-24 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 China CDC Wkly Vital Surveillances 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 (R(0)=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. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022-10-07 /pmc/articles/PMC9579982/ /pubmed/36285319 http://dx.doi.org/10.46234/ccdcw2022.184 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/)
spellingShingle Vital Surveillances
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
Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title_full Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title_fullStr Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title_full_unstemmed Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title_short Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022
title_sort travel-related importation and exportation risks of sars-cov-2 omicron variant in 367 prefectures (cities) — china, 2022
topic Vital Surveillances
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579982/
https://www.ncbi.nlm.nih.gov/pubmed/36285319
http://dx.doi.org/10.46234/ccdcw2022.184
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