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Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data

BACKGROUND: Since the first appearance in Wuhan, China in December 2019, the novel coronavirus disease (COVID-19) has posed serious threats to the public health in many Chinese places and overseas. It is essential to quantify the transmissibility on real-time basis for designing public health respon...

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Autores principales: Wang, Kai, Zhao, Shi, Li, Huling, Song, Yateng, Wang, Lei, Wang, Maggie H., Peng, Zhihang, Li, Hui, He, Daihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327374/
https://www.ncbi.nlm.nih.gov/pubmed/32617309
http://dx.doi.org/10.21037/atm-20-1944
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author Wang, Kai
Zhao, Shi
Li, Huling
Song, Yateng
Wang, Lei
Wang, Maggie H.
Peng, Zhihang
Li, Hui
He, Daihai
author_facet Wang, Kai
Zhao, Shi
Li, Huling
Song, Yateng
Wang, Lei
Wang, Maggie H.
Peng, Zhihang
Li, Hui
He, Daihai
author_sort Wang, Kai
collection PubMed
description BACKGROUND: Since the first appearance in Wuhan, China in December 2019, the novel coronavirus disease (COVID-19) has posed serious threats to the public health in many Chinese places and overseas. It is essential to quantify the transmissibility on real-time basis for designing public health responses. METHODS: We estimated the time-varying reproduction numbers in China, Hubei province and Wuhan city by using the renewable equation determined by the serial interval (SI) of COVID-19. We compare the average reproduction numbers in different periods of time to explore the effectiveness of the public health control measures against the COVID-19 epidemic. RESULTS: We estimated the reproduction numbers at 2.61 (95% CI: 2.47–2.75), 2.76 (95% CI: 2.54–2.95) and 2.71 (95% CI: 2.43–3.01) for China, Hubei province and Wuhan respectively. We found that the reproduction number largely dropped after the city lockdown. As of February 16, the three reproduction numbers further reduced to 0.98, 1.14 and 1.41 respectively. CONCLUSIONS: The control of COVID-19 epidemic was effective in substantially reducing the disease transmissibility in terms of the reproduction number in China reduced to 0.98 as of February 16. At the same time, the reproduction number in Wuhan was probably still larger than 1, and thus the enhancement in the public health control was recommended to maintain.
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spelling pubmed-73273742020-07-01 Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data Wang, Kai Zhao, Shi Li, Huling Song, Yateng Wang, Lei Wang, Maggie H. Peng, Zhihang Li, Hui He, Daihai Ann Transl Med Original Article BACKGROUND: Since the first appearance in Wuhan, China in December 2019, the novel coronavirus disease (COVID-19) has posed serious threats to the public health in many Chinese places and overseas. It is essential to quantify the transmissibility on real-time basis for designing public health responses. METHODS: We estimated the time-varying reproduction numbers in China, Hubei province and Wuhan city by using the renewable equation determined by the serial interval (SI) of COVID-19. We compare the average reproduction numbers in different periods of time to explore the effectiveness of the public health control measures against the COVID-19 epidemic. RESULTS: We estimated the reproduction numbers at 2.61 (95% CI: 2.47–2.75), 2.76 (95% CI: 2.54–2.95) and 2.71 (95% CI: 2.43–3.01) for China, Hubei province and Wuhan respectively. We found that the reproduction number largely dropped after the city lockdown. As of February 16, the three reproduction numbers further reduced to 0.98, 1.14 and 1.41 respectively. CONCLUSIONS: The control of COVID-19 epidemic was effective in substantially reducing the disease transmissibility in terms of the reproduction number in China reduced to 0.98 as of February 16. At the same time, the reproduction number in Wuhan was probably still larger than 1, and thus the enhancement in the public health control was recommended to maintain. AME Publishing Company 2020-06 /pmc/articles/PMC7327374/ /pubmed/32617309 http://dx.doi.org/10.21037/atm-20-1944 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wang, Kai
Zhao, Shi
Li, Huling
Song, Yateng
Wang, Lei
Wang, Maggie H.
Peng, Zhihang
Li, Hui
He, Daihai
Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title_full Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title_fullStr Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title_full_unstemmed Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title_short Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data
title_sort real-time estimation of the reproduction number of the novel coronavirus disease (covid-19) in china in 2020 based on incidence data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327374/
https://www.ncbi.nlm.nih.gov/pubmed/32617309
http://dx.doi.org/10.21037/atm-20-1944
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