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Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself?
After more than a year with COVID-19, it becomes increasingly clear that certain variants of concern have the potential to be game changers, determining the future of our aviation. These variants pose significant health threats and possibly undermine ongoing vaccination efforts. Recent research show...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514882/ https://www.ncbi.nlm.nih.gov/pubmed/34664004 http://dx.doi.org/10.1016/j.tra.2021.08.007 |
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author | Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming |
author_facet | Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming |
author_sort | Sun, Xiaoqian |
collection | PubMed |
description | After more than a year with COVID-19, it becomes increasingly clear that certain variants of concern have the potential to be game changers, determining the future of our aviation. These variants pose significant health threats and possibly undermine ongoing vaccination efforts. Recent research showed that flight bans on the initial SARS-CoV-2 outbreak in January 2020 were implemented too late and therefore, turned out to be largely ineffective, enabling a swift turn into a fully-blown pandemic. In this study, we investigate the following question: How effective were existing flight bans against the newly emerged variants of concern? In other words: Do airlines and countries happen to repeat the same mistake again? We analyze the spread of the three most prevalent variants of concern right now: B.1.1.7 (known as the UK variant), B.1.351 (known as the South African variant), and P.1 (known as the Brazilian variant). We find that many countries, again, implemented flights bans once the mutated virus had enough time to be imported via air transportation. To support our empirical analysis further, we designed and implemented a compartmental network spreading model on top of worldwide flight data for the years 2020 and 2021. We observe that the model predictions are rather accurate and confirm our findings. Overall, we hope that our study encourages air transportation stakeholders and policy makers to avoid repeating earlier mistakes in the future, with the ultimate goal to overcome COVID-19 entirely. |
format | Online Article Text |
id | pubmed-8514882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85148822021-10-14 Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming Transp Res Part A Policy Pract Article After more than a year with COVID-19, it becomes increasingly clear that certain variants of concern have the potential to be game changers, determining the future of our aviation. These variants pose significant health threats and possibly undermine ongoing vaccination efforts. Recent research showed that flight bans on the initial SARS-CoV-2 outbreak in January 2020 were implemented too late and therefore, turned out to be largely ineffective, enabling a swift turn into a fully-blown pandemic. In this study, we investigate the following question: How effective were existing flight bans against the newly emerged variants of concern? In other words: Do airlines and countries happen to repeat the same mistake again? We analyze the spread of the three most prevalent variants of concern right now: B.1.1.7 (known as the UK variant), B.1.351 (known as the South African variant), and P.1 (known as the Brazilian variant). We find that many countries, again, implemented flights bans once the mutated virus had enough time to be imported via air transportation. To support our empirical analysis further, we designed and implemented a compartmental network spreading model on top of worldwide flight data for the years 2020 and 2021. We observe that the model predictions are rather accurate and confirm our findings. Overall, we hope that our study encourages air transportation stakeholders and policy makers to avoid repeating earlier mistakes in the future, with the ultimate goal to overcome COVID-19 entirely. Elsevier Ltd. 2021-10 2021-08-30 /pmc/articles/PMC8514882/ /pubmed/34664004 http://dx.doi.org/10.1016/j.tra.2021.08.007 Text en © 2021 Elsevier Ltd. All rights reserved. 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 | Article Sun, Xiaoqian Wandelt, Sebastian Zhang, Anming Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title | Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title_full | Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title_fullStr | Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title_full_unstemmed | Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title_short | Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself? |
title_sort | delayed reaction towards emerging covid-19 variants of concern: does history repeat itself? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514882/ https://www.ncbi.nlm.nih.gov/pubmed/34664004 http://dx.doi.org/10.1016/j.tra.2021.08.007 |
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