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Containing the Transmission of COVID-19: A Modeling Study in 160 Countries
Background: It is much valuable to evaluate the comparative effectiveness of the coronavirus disease 2019 (COVID-19) prevention and control in the non-pharmacological intervention phase of the pandemic across countries and identify useful experiences that could be generalized worldwide. Methods: In...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416347/ https://www.ncbi.nlm.nih.gov/pubmed/34485337 http://dx.doi.org/10.3389/fmed.2021.701836 |
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author | Niu, Yan Rui, Jia Wang, Qiupeng Zhang, Wei Chen, Zhiwei Xie, Fang Zhao, Zeyu Lin, Shengnan Zhu, Yuanzhao Wang, Yao Xu, Jingwen Liu, Xingchun Yang, Meng Zheng, Wei Chen, Kaixin Xia, Yilan Xu, Lijuan Zhang, Shi Ji, Rongrong Jin, Taisong Chen, Yong Zhao, Benhua Su, Yanhua Song, Tie Chen, Tianmu Hu, Guoqing |
author_facet | Niu, Yan Rui, Jia Wang, Qiupeng Zhang, Wei Chen, Zhiwei Xie, Fang Zhao, Zeyu Lin, Shengnan Zhu, Yuanzhao Wang, Yao Xu, Jingwen Liu, Xingchun Yang, Meng Zheng, Wei Chen, Kaixin Xia, Yilan Xu, Lijuan Zhang, Shi Ji, Rongrong Jin, Taisong Chen, Yong Zhao, Benhua Su, Yanhua Song, Tie Chen, Tianmu Hu, Guoqing |
author_sort | Niu, Yan |
collection | PubMed |
description | Background: It is much valuable to evaluate the comparative effectiveness of the coronavirus disease 2019 (COVID-19) prevention and control in the non-pharmacological intervention phase of the pandemic across countries and identify useful experiences that could be generalized worldwide. Methods: In this study, we developed a susceptible–exposure–infectious–asymptomatic–removed (SEIAR) model to fit the daily reported COVID-19 cases in 160 countries. The time-varying reproduction number (R(t)) that was estimated through fitting the mathematical model was adopted to quantify the transmissibility. We defined a synthetic index (I(AC)) based on the value of R(t) to reflect the national capability to control COVID-19. Results: The goodness-of-fit tests showed that the SEIAR model fitted the data of the 160 countries well. At the beginning of the epidemic, the values of R(t) of countries in the European region were generally higher than those in other regions. Among the 160 countries included in the study, all European countries had the ability to control the COVID-19 epidemic. The Western Pacific Region did best in continuous control of the epidemic, with a total of 73.76% of countries that can continuously control the COVID-19 epidemic, while only 43.63% of the countries in the European Region continuously controlled the epidemic, followed by the Region of Americas with 52.53% of countries, the Southeast Asian Region with 48% of countries, the African Region with 46.81% of countries, and the Eastern Mediterranean Region with 40.48% of countries. Conclusion: Large variations in controlling the COVID-19 epidemic existed across countries. The world could benefit from the experience of some countries that demonstrated the highest containment capabilities. |
format | Online Article Text |
id | pubmed-8416347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84163472021-09-04 Containing the Transmission of COVID-19: A Modeling Study in 160 Countries Niu, Yan Rui, Jia Wang, Qiupeng Zhang, Wei Chen, Zhiwei Xie, Fang Zhao, Zeyu Lin, Shengnan Zhu, Yuanzhao Wang, Yao Xu, Jingwen Liu, Xingchun Yang, Meng Zheng, Wei Chen, Kaixin Xia, Yilan Xu, Lijuan Zhang, Shi Ji, Rongrong Jin, Taisong Chen, Yong Zhao, Benhua Su, Yanhua Song, Tie Chen, Tianmu Hu, Guoqing Front Med (Lausanne) Medicine Background: It is much valuable to evaluate the comparative effectiveness of the coronavirus disease 2019 (COVID-19) prevention and control in the non-pharmacological intervention phase of the pandemic across countries and identify useful experiences that could be generalized worldwide. Methods: In this study, we developed a susceptible–exposure–infectious–asymptomatic–removed (SEIAR) model to fit the daily reported COVID-19 cases in 160 countries. The time-varying reproduction number (R(t)) that was estimated through fitting the mathematical model was adopted to quantify the transmissibility. We defined a synthetic index (I(AC)) based on the value of R(t) to reflect the national capability to control COVID-19. Results: The goodness-of-fit tests showed that the SEIAR model fitted the data of the 160 countries well. At the beginning of the epidemic, the values of R(t) of countries in the European region were generally higher than those in other regions. Among the 160 countries included in the study, all European countries had the ability to control the COVID-19 epidemic. The Western Pacific Region did best in continuous control of the epidemic, with a total of 73.76% of countries that can continuously control the COVID-19 epidemic, while only 43.63% of the countries in the European Region continuously controlled the epidemic, followed by the Region of Americas with 52.53% of countries, the Southeast Asian Region with 48% of countries, the African Region with 46.81% of countries, and the Eastern Mediterranean Region with 40.48% of countries. Conclusion: Large variations in controlling the COVID-19 epidemic existed across countries. The world could benefit from the experience of some countries that demonstrated the highest containment capabilities. Frontiers Media S.A. 2021-08-18 /pmc/articles/PMC8416347/ /pubmed/34485337 http://dx.doi.org/10.3389/fmed.2021.701836 Text en Copyright © 2021 Niu, Rui, Wang, Zhang, Chen, Xie, Zhao, Lin, Zhu, Wang, Xu, Liu, Yang, Zheng, Chen, Xia, Xu, Zhang, Ji, Jin, Chen, Zhao, Su, Song, Chen and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Niu, Yan Rui, Jia Wang, Qiupeng Zhang, Wei Chen, Zhiwei Xie, Fang Zhao, Zeyu Lin, Shengnan Zhu, Yuanzhao Wang, Yao Xu, Jingwen Liu, Xingchun Yang, Meng Zheng, Wei Chen, Kaixin Xia, Yilan Xu, Lijuan Zhang, Shi Ji, Rongrong Jin, Taisong Chen, Yong Zhao, Benhua Su, Yanhua Song, Tie Chen, Tianmu Hu, Guoqing Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title | Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title_full | Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title_fullStr | Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title_full_unstemmed | Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title_short | Containing the Transmission of COVID-19: A Modeling Study in 160 Countries |
title_sort | containing the transmission of covid-19: a modeling study in 160 countries |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416347/ https://www.ncbi.nlm.nih.gov/pubmed/34485337 http://dx.doi.org/10.3389/fmed.2021.701836 |
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