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Management strategies and prediction of COVID-19 by a fractional order generalized SEIR model
Lihong Guo; Yanting Zhao; YangQuan Chen.
Afiliación
  • Lihong Guo; Jilin University, China
  • Yanting Zhao; University of Science and Technology of China
  • YangQuan Chen; University of California Merced
Preprint en Inglés | medRxiv | ID: ppmedrxiv-20134916
ABSTRACT
In this project, we study a class of fractional order generalized SEIR epidemic models. Based on the public data from Jan. 22th to May 15th, 2020, we reliably estimate key epidemic parameters and make predictions on the peak point and possible ending time for the target region. We analyze the current management strategy and predict the future implementation of different management strategies. Numerical simulations which support our analysis are also given.
Licencia
cc_by_nc_nd
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2020 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2020 Tipo del documento: Preprint
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