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Assessing spread risk of COVID-19 in early 2020
A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the potential risk and geographic range of COVID-19 spread at the early stage of the transmission. A seri...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Xi'an Jiaotong University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411104/ http://dx.doi.org/10.1016/j.dsm.2022.08.004 |
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author | Lai, Shengjie Bogoch, Isaac I. Ruktanonchai, Nick W. Watts, Alexander Lu, Xin Yang, Weizhong Yu, Hongjie Khan, Kamran Tatem, Andrew J. |
author_facet | Lai, Shengjie Bogoch, Isaac I. Ruktanonchai, Nick W. Watts, Alexander Lu, Xin Yang, Weizhong Yu, Hongjie Khan, Kamran Tatem, Andrew J. |
author_sort | Lai, Shengjie |
collection | PubMed |
description | A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the potential risk and geographic range of COVID-19 spread at the early stage of the transmission. A series of connectivity and risk analyses based on domestic and international travel networks were conducted using historical aggregated mobile phone data and air passenger itinerary data. We found that the cordon sanitaire of the primary city was likely to have occurred during the latter stages of peak population numbers leaving the city, with travellers departing into neighbouring cities and other megacities in China. We estimated that there were 59,912 international air passengers, of which 834 (95% uncertainty interval: 478–1,349) had COVID-19 infection, with a strong correlation seen between the predicted risks of importation and the number of imported cases found. Given the limited understanding of emerging infectious diseases in the very early stages of outbreaks, our approaches and findings in assessing travel patterns and risk of transmission can help guide public health preparedness and intervention design for new COVID-19 waves caused by variants of concern and future pandemics to effectively limit transmission beyond its initial extent. |
format | Online Article Text |
id | pubmed-9411104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Xi'an Jiaotong University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94111042022-08-26 Assessing spread risk of COVID-19 in early 2020 Lai, Shengjie Bogoch, Isaac I. Ruktanonchai, Nick W. Watts, Alexander Lu, Xin Yang, Weizhong Yu, Hongjie Khan, Kamran Tatem, Andrew J. Data Science and Management Research Article A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the potential risk and geographic range of COVID-19 spread at the early stage of the transmission. A series of connectivity and risk analyses based on domestic and international travel networks were conducted using historical aggregated mobile phone data and air passenger itinerary data. We found that the cordon sanitaire of the primary city was likely to have occurred during the latter stages of peak population numbers leaving the city, with travellers departing into neighbouring cities and other megacities in China. We estimated that there were 59,912 international air passengers, of which 834 (95% uncertainty interval: 478–1,349) had COVID-19 infection, with a strong correlation seen between the predicted risks of importation and the number of imported cases found. Given the limited understanding of emerging infectious diseases in the very early stages of outbreaks, our approaches and findings in assessing travel patterns and risk of transmission can help guide public health preparedness and intervention design for new COVID-19 waves caused by variants of concern and future pandemics to effectively limit transmission beyond its initial extent. Xi'an Jiaotong University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2022-12 2022-08-26 /pmc/articles/PMC9411104/ http://dx.doi.org/10.1016/j.dsm.2022.08.004 Text en © 2023 Xi'an Jiaotong University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Article Lai, Shengjie Bogoch, Isaac I. Ruktanonchai, Nick W. Watts, Alexander Lu, Xin Yang, Weizhong Yu, Hongjie Khan, Kamran Tatem, Andrew J. Assessing spread risk of COVID-19 in early 2020 |
title | Assessing spread risk of COVID-19 in early 2020 |
title_full | Assessing spread risk of COVID-19 in early 2020 |
title_fullStr | Assessing spread risk of COVID-19 in early 2020 |
title_full_unstemmed | Assessing spread risk of COVID-19 in early 2020 |
title_short | Assessing spread risk of COVID-19 in early 2020 |
title_sort | assessing spread risk of covid-19 in early 2020 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411104/ http://dx.doi.org/10.1016/j.dsm.2022.08.004 |
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