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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.
Afiliação
  • Bai Y; Xi'an Center for Disease Control and Prevention, Xi'an 710054, Shaanxi, China.
  • Peng Z; Institute of Public Health, Nankai University, Tianjin 300071, China.
  • Wei F; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China.
  • Jin Z; School of Mathematics and Statistics, Fuzhou University, Fuzhou 350116, Fujian, China.
  • Wang J; Complex Systems Research Center, Key Discipline of Computer Science and Technology of "Double-First-Class" Project of Shanxi Province, Shanxi University, Taiyuan 030006, Shanxi, China.
  • Xu X; Nankai Institute of Economics, Binhai Development Institute, Nankai University, Tianjin 300071, China.
  • Zhang X; Children's Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Xu J; Jinzhou Center for Disease Control and Prevention, Jinzhou 121000, Liaoning, China.
  • Ren Z; School of Statistics and Data Science, Nankai University, Tianjin 300071, China.
  • Lu B; School of Statistics and Data Science, Nankai University, Tianjin 300071, China.
  • Wang Z; Suzhou Center for Disease Control and Prevention, Suzhou 215004, Jiangsu, China.
  • Xu J; School of Statistics and Data Science, Nankai University, Tianjin 300071, China.
  • Huang S; State Key Laboratory of Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
J Biosaf Biosecur ; 5(1): 39-44, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36992708
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article