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Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency

The prediction system EpiSIX was used to study the COVID-19 epidemic in mainland China between November 2022 and January 2023, based on reported data from December 9, 2022, to January 30, 2023, released by The Chinese Center for Disease Control and Prevention on February 1, 2023. Three kinds of repo...

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Detalles Bibliográficos
Autores principales: Bai, Yao, Peng, Zhihang, Wei, Fengying, Jin, Zhen, Wang, Jinjie, Xu, Ximing, Zhang, Xinyan, Xu, Jun, Ren, Zixiong, Lu, Bulai, Wang, Zhaojun, Xu, Jianguo, Huang, Senzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030260/
https://www.ncbi.nlm.nih.gov/pubmed/36992708
http://dx.doi.org/10.1016/j.jobb.2023.03.001
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author Bai, Yao
Peng, Zhihang
Wei, Fengying
Jin, Zhen
Wang, Jinjie
Xu, Ximing
Zhang, Xinyan
Xu, Jun
Ren, Zixiong
Lu, Bulai
Wang, Zhaojun
Xu, Jianguo
Huang, Senzhong
author_facet Bai, Yao
Peng, Zhihang
Wei, Fengying
Jin, Zhen
Wang, Jinjie
Xu, Ximing
Zhang, Xinyan
Xu, Jun
Ren, Zixiong
Lu, Bulai
Wang, Zhaojun
Xu, Jianguo
Huang, Senzhong
author_sort Bai, Yao
collection PubMed
description The prediction system EpiSIX was used to study the COVID-19 epidemic in mainland China between November 2022 and January 2023, based on reported data from December 9, 2022, to January 30, 2023, released by The Chinese Center for Disease Control and Prevention on February 1, 2023. Three kinds of reported data were used for model fitting: the daily numbers of positive nucleic acid tests and deaths, and the daily number of hospital beds taken by COVID-19 patients. It was estimated that the overall infection rate was 87.54% and the overall case fatality rate was 0.078%–0.116% (median 0.100%). Assuming that a new COVID-19 epidemic outbreak would start in March or April of 2023, induced by a slightly more infectious mutant strain, we predicted a possible large rebound between September and October 2023, with a peak demand of between 800,000 and 900,000 inpatient beds. If no such new outbreak was induced by other variants, then the current COVID-19 epidemic course in mainland China would remain under control until the end of 2023. However, it is suggested that the necessary medical resources be prepared to manage possible COVID-19 epidemic emergencies in the near future, especially for the period between September and October 2023.
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spelling pubmed-100302602023-03-22 Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency Bai, Yao Peng, Zhihang Wei, Fengying Jin, Zhen Wang, Jinjie Xu, Ximing Zhang, Xinyan Xu, Jun Ren, Zixiong Lu, Bulai Wang, Zhaojun Xu, Jianguo Huang, Senzhong J Biosaf Biosecur Research Article The prediction system EpiSIX was used to study the COVID-19 epidemic in mainland China between November 2022 and January 2023, based on reported data from December 9, 2022, to January 30, 2023, released by The Chinese Center for Disease Control and Prevention on February 1, 2023. Three kinds of reported data were used for model fitting: the daily numbers of positive nucleic acid tests and deaths, and the daily number of hospital beds taken by COVID-19 patients. It was estimated that the overall infection rate was 87.54% and the overall case fatality rate was 0.078%–0.116% (median 0.100%). Assuming that a new COVID-19 epidemic outbreak would start in March or April of 2023, induced by a slightly more infectious mutant strain, we predicted a possible large rebound between September and October 2023, with a peak demand of between 800,000 and 900,000 inpatient beds. If no such new outbreak was induced by other variants, then the current COVID-19 epidemic course in mainland China would remain under control until the end of 2023. However, it is suggested that the necessary medical resources be prepared to manage possible COVID-19 epidemic emergencies in the near future, especially for the period between September and October 2023. Published by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. 2023-03 2023-03-22 /pmc/articles/PMC10030260/ /pubmed/36992708 http://dx.doi.org/10.1016/j.jobb.2023.03.001 Text en © 2023 Published 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
Bai, Yao
Peng, Zhihang
Wei, Fengying
Jin, Zhen
Wang, Jinjie
Xu, Ximing
Zhang, Xinyan
Xu, Jun
Ren, Zixiong
Lu, Bulai
Wang, Zhaojun
Xu, Jianguo
Huang, Senzhong
Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title_full Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title_fullStr Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title_full_unstemmed Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title_short Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency
title_sort study on the covid-19 epidemic in mainland china between november 2022 and january 2023, with prediction of its tendency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030260/
https://www.ncbi.nlm.nih.gov/pubmed/36992708
http://dx.doi.org/10.1016/j.jobb.2023.03.001
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