Selected article for: "epidemic numerical simulation and time epidemic path"
Author: Glenn F Webb; Pierre Magal; Zhihua Liu; Ousmane Seydi
Title: A model to predict COVID-19 epidemics with applications to South Korea, Italy, and Spain
  • Document date: 2020_4_10
    • ID: c95lntyp_24
    Snippet: The date N and the intensity µ of the public measures are chosen so that the cumulative reported cases in the numerical simulation of the epidemic aligns with the cumulative reported case data at an identified date after day N . In this way, we are able to project forward the time-path of the epidemic after the government imposed public measures take effect......
    Document: The date N and the intensity µ of the public measures are chosen so that the cumulative reported cases in the numerical simulation of the epidemic aligns with the cumulative reported case data at an identified date after day N . In this way, we are able to project forward the time-path of the epidemic after the government imposed public measures take effect.

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