Selected article for: "µ day and infection rate"

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_51
    Snippet: By performing GEMF stochastic simulations, we obtain that ′ is equal to 0.12 for day 0-7, and then becomes 0.027 for day 8-10, and 0.024 for day 11-18. Starting from day 19, ′ = 0.02. The infection rate dramatically drops, indicating that public health interventions implemented in Hubei Province have considerably controlled the epidemic development since the nascent stage of the outbreak......
    Document: By performing GEMF stochastic simulations, we obtain that ′ is equal to 0.12 for day 0-7, and then becomes 0.027 for day 8-10, and 0.024 for day 11-18. Starting from day 19, ′ = 0.02. The infection rate dramatically drops, indicating that public health interventions implemented in Hubei Province have considerably controlled the epidemic development since the nascent stage of the outbreak.

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