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Outbreak analysis with a logistic growth model shows COVID-19 suppression dynamics in China
Yi Zou; Stephen Pan; Peng Zhao; Lei Han; Xiaoxiang Wang; Lia Hemerik; Johannes Knops; Wopke van der Werf.
Afiliação
  • Yi Zou; Xi'an Jiaotong-Liverpool University
  • Stephen Pan; Xi'an Jiaotong-Liverpool University
  • Peng Zhao; Xi'an Jiaotong-Liverpool University
  • Lei Han; Xi'an Jiaotong-Liverpool University
  • Xiaoxiang Wang; Southern University of Science and Technology
  • Lia Hemerik; Wageningen University
  • Johannes Knops; Xi'an Jiaotong-Liverpool University
  • Wopke van der Werf; Wageningen University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20043539
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ABSTRACT
China reported a major outbreak of a novel coronavirus, SARS-CoV2, from mid-January till mid-March 2020. The number of cases outside China is now growing fast, while in mainland China the virus outbreak is largely under control. We review the epidemic virus growth and decline curves in China using a phenomenological logistic growth model to summarize the outbreak dynamics using three parameters that characterize the epidemics timing, rate and peak. During the initial phase, the number of virus cases doubled every 2.7 (range 2.2 - 4.4) days. The rate of increase in the number of reported cases peaked approximately 10 days after suppression measures were started on 23-25 January 2020. The peak in the number of reported sick cases occurred on average 18 days after the start of measures. From the time of starting measures till the peak, the number of cases increased by a factor 39 in the province Hubei, and by a factor 9.5 for all of China (range 6.2-20.4 in the other provinces). Complete suppression took up to 2 months (range 23-57d.), during which period severe restrictions, social distancing measures, testing and isolation of cases were in place. The suppression of the disease in China has been successful, demonstrating that suppression is a viable strategy to contain SARS-CoV2.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Pesquisa qualitativa Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Pesquisa qualitativa Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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