Selected article for: "age process and disease process"

Author: Norden E Huang; Fangli Qiao; Ka-Kit Tung
Title: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves
  • Document date: 2020_3_30
  • ID: mxen3n0k_138
    Snippet: Boundary condition: X(t ,0), specifies the "birth" process, i.e. how the disease spawns newly infected (with "age" s = 0). Initial condition: X(0,s) = 0 for s > 0, specifies the initial age distribution at t = 0 819 There are two types of characteristics:.....
    Document: Boundary condition: X(t ,0), specifies the "birth" process, i.e. how the disease spawns newly infected (with "age" s = 0). Initial condition: X(0,s) = 0 for s > 0, specifies the initial age distribution at t = 0 819 There are two types of characteristics:

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