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Epidemic analysis of COVID-19 in China by dynamical modeling
Liangrong Peng; Wuyue Yang; Dongyan Zhang; Changjing Zhuge; Liu Hong.
Afiliação
  • Liangrong Peng; Minjiang University
  • Wuyue Yang; Tsinghua University
  • Dongyan Zhang; Beijing University of Technology
  • Changjing Zhuge; Beijing University of Technology
  • Liu Hong; Tsinghua University
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20023465
ABSTRACT
The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based on the public data of National Health Commission of China from Jan. 20th to Feb. 9th, 2020, we reliably estimate key epidemic parameters and make predictions on the inflection point and possible ending time for 5 different regions. According to optimistic estimation, the epidemics in Beijing and Shanghai will end soon within two weeks, while for most part of China, including the majority of cities in Hubei province, the success of anti-epidemic will be no later than the middle of March. The situation in Wuhan is still very severe, at least based on public data until Feb. 15th. We expect it will end up at the beginning of April. Moreover, by inverse inference, we find the outbreak of COVID-19 in Mainland, Hubei province and Wuhan all can be dated back to the end of December 2019, and the doubling time is around two days at the early stage.
Licença
cc_no
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint