Selected article for: "cumulative number and infectious period"

Author: Qihui Yang; Chunlin Yi; Aram Vajdi; Lee W Cohnstaedt; Hongyu Wu; Xiaolong Guo; Caterina M Scoglio
Title: Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China
  • Document date: 2020_3_30
  • ID: kcb68hue_59
    Snippet: With mean infectious period (from compartments → ) set as 3.9 days and mean incubation period (from compartments → ) set as 5 days, we first use ordinary differential equations based on Markov processes to estimate the infection rate from compartments → . Assuming that the epidemic starts from December 1 st , is equal to 0.68 to match the number of cumulative confirmed cases in Wuhan city......
    Document: With mean infectious period (from compartments → ) set as 3.9 days and mean incubation period (from compartments → ) set as 5 days, we first use ordinary differential equations based on Markov processes to estimate the infection rate from compartments → . Assuming that the epidemic starts from December 1 st , is equal to 0.68 to match the number of cumulative confirmed cases in Wuhan city.

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