Selected article for: "assumed number and SIR model"
Author: Bart Smeets; Rodrigo Watte; Herman Ramon
Title: Scaling analysis of COVID-19 spreading based on Belgian hospitalization data
  • Document date: 2020_3_30
    • ID: nc5rtwtd_12
    Snippet: Here, α is the infection rate, β the recovery rate, κ the removal rate of symptomatic infected individuals, and κ 0 the containment rate of both S and I populations. Originally, it is assumed that the fraction X is proportional to the number of confirmed infected cases. We will assume that X is proportional to the number of hospitalized cases, estimating that around 5% of infected (selfisolating) cases will be hospitalized, and that this occu.....
    Document: Here, α is the infection rate, β the recovery rate, κ the removal rate of symptomatic infected individuals, and κ 0 the containment rate of both S and I populations. Originally, it is assumed that the fraction X is proportional to the number of confirmed infected cases. We will assume that X is proportional to the number of hospitalized cases, estimating that around 5% of infected (selfisolating) cases will be hospitalized, and that this occurs with a time delay of 2 days (average time between onset of symptoms and hospitalization). The precise proportionality of this scaling does not affect the further outcome of our analysis. The SIR-X model measures the effectiveness of isolation strategies through the 'leverage factor'

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