Selected article for: "contact rate and population model"

Author: Alastair D Jamieson-Lane; Eric Cytrnbaum
Title: The Effectiveness of Targeted Quarantine for Minimising Impact of COVID-19
  • Document date: 2020_4_3
  • ID: jnz5by5w_15
    Snippet: In order to illustrate the general approach described above, we consider a simple SIR type model, in which our population is divided both by disease status (Susceptible, Infected, Recovered), and by age cohort. Here we lump people by decade, as this is the granularity that fatality rates and ICU admission data are reported. We assume fixed recovery rate γ = 0.1 days −1 , and a fixed infection rate β = 0.25 days −1 . Interactions between age.....
    Document: In order to illustrate the general approach described above, we consider a simple SIR type model, in which our population is divided both by disease status (Susceptible, Infected, Recovered), and by age cohort. Here we lump people by decade, as this is the granularity that fatality rates and ICU admission data are reported. We assume fixed recovery rate γ = 0.1 days −1 , and a fixed infection rate β = 0.25 days −1 . Interactions between age cohorts are governed by the contact matrix κ(t). Entry κ i,j gives the contact rate between age cohort i and age cohort j. This is the system parameter that can be changed through public policy and human behavior.

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