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Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China
BACKGROUND: On December 31, 2019, the World Health Organization was alerted to the occurrence of cases of pneumonia in Wuhan, Hubei Province, China, that were caused by an unknown virus, which was later identified as a coronavirus and named the severe acute respiratory syndrome coronavirus 2 (SARS-C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272210/ https://www.ncbi.nlm.nih.gov/pubmed/32498721 http://dx.doi.org/10.1186/s12976-020-00127-6 |
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author | Kim, Soyoung Choi, Sunhwa Ko, Youngsuk Ki, Moran Jung, Eunok |
author_facet | Kim, Soyoung Choi, Sunhwa Ko, Youngsuk Ki, Moran Jung, Eunok |
author_sort | Kim, Soyoung |
collection | PubMed |
description | BACKGROUND: On December 31, 2019, the World Health Organization was alerted to the occurrence of cases of pneumonia in Wuhan, Hubei Province, China, that were caused by an unknown virus, which was later identified as a coronavirus and named the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to estimate the reproductive number of SARS-CoV-2 in the Hubei Province and evaluate the risk of an acute respiratory coronavirus disease (COVID-19) outbreak outside China by using a mathematical model and stochastic simulations. RESULTS: We constructed a mathematical model of SARS-CoV-2 transmission dynamics, estimated the rate of transmission, and calculated the reproductive number in Hubei Province by using case-report data from January 11 to February 6, 2020. The possible number of secondary cases outside China was estimated by stochastic simulations in various scenarios of reductions in the duration to quarantine and rate of transmission. The rate of transmission was estimated as 0.8238 (95% confidence interval [CI] 0.8095–0.8382), and the basic reproductive number as 4.1192 (95% CI 4.0473–4.1912). Assuming the same rate of transmission as in Hubei Province, the possibility of no local transmission is 54.9% with a 24-h quarantine strategy, and the possibility of more than 20 local transmission cases is 7% outside of China. CONCLUSION: The reproductive number for SARS-CoV-2 transmission dynamics is significantly higher compared to that of the previous SARS epidemic in China. This implies that human-to-human transmission is a significant factor for contagion in Hubei Province. Results of the stochastic simulation emphasize the role of quarantine implementation, which is critical to prevent and control the SARS-CoV-2 outbreak outside China. |
format | Online Article Text |
id | pubmed-7272210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72722102020-06-05 Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China Kim, Soyoung Choi, Sunhwa Ko, Youngsuk Ki, Moran Jung, Eunok Theor Biol Med Model Research BACKGROUND: On December 31, 2019, the World Health Organization was alerted to the occurrence of cases of pneumonia in Wuhan, Hubei Province, China, that were caused by an unknown virus, which was later identified as a coronavirus and named the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to estimate the reproductive number of SARS-CoV-2 in the Hubei Province and evaluate the risk of an acute respiratory coronavirus disease (COVID-19) outbreak outside China by using a mathematical model and stochastic simulations. RESULTS: We constructed a mathematical model of SARS-CoV-2 transmission dynamics, estimated the rate of transmission, and calculated the reproductive number in Hubei Province by using case-report data from January 11 to February 6, 2020. The possible number of secondary cases outside China was estimated by stochastic simulations in various scenarios of reductions in the duration to quarantine and rate of transmission. The rate of transmission was estimated as 0.8238 (95% confidence interval [CI] 0.8095–0.8382), and the basic reproductive number as 4.1192 (95% CI 4.0473–4.1912). Assuming the same rate of transmission as in Hubei Province, the possibility of no local transmission is 54.9% with a 24-h quarantine strategy, and the possibility of more than 20 local transmission cases is 7% outside of China. CONCLUSION: The reproductive number for SARS-CoV-2 transmission dynamics is significantly higher compared to that of the previous SARS epidemic in China. This implies that human-to-human transmission is a significant factor for contagion in Hubei Province. Results of the stochastic simulation emphasize the role of quarantine implementation, which is critical to prevent and control the SARS-CoV-2 outbreak outside China. BioMed Central 2020-06-05 /pmc/articles/PMC7272210/ /pubmed/32498721 http://dx.doi.org/10.1186/s12976-020-00127-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kim, Soyoung Choi, Sunhwa Ko, Youngsuk Ki, Moran Jung, Eunok Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title | Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title_full | Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title_fullStr | Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title_full_unstemmed | Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title_short | Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China |
title_sort | risk estimation of the sars-cov-2 acute respiratory disease outbreak outside china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272210/ https://www.ncbi.nlm.nih.gov/pubmed/32498721 http://dx.doi.org/10.1186/s12976-020-00127-6 |
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