Selected article for: "continuous time and homogeneous population"

Author: Wayne M. Getz; Richard Salter; Oliver Muellerklein; Hyun S. Yoon; Krti Tallam
Title: Modeling Epidemics: A Primer and Numerus Software Implementation
  • Document date: 2017_9_22
  • ID: 6riyqn4k_7
    Snippet: SEIR infectious disease models are based on dividing an otherwise homogeneous population into the following disease classes: susceptible (S), exposed (E; infected but not yet infectious), infectious (I), and Removed (R) individuals, the latter comprising either dead (D) or recovered with immunity (V; for vaccinated, though naturally so) that may wane over time. Through- Figure 1 : Flow diagrams for the basic SEIV continuous (A) and discrete (B) t.....
    Document: SEIR infectious disease models are based on dividing an otherwise homogeneous population into the following disease classes: susceptible (S), exposed (E; infected but not yet infectious), infectious (I), and Removed (R) individuals, the latter comprising either dead (D) or recovered with immunity (V; for vaccinated, though naturally so) that may wane over time. Through- Figure 1 : Flow diagrams for the basic SEIV continuous (A) and discrete (B) time models with transition rates τ , σ, γ and ν from disease classes S to E, E to I, I to V and V back to I, respectively. The class of dead individuals D together with immune individuals V make up the historically defined "removed class" R.

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