Selected article for: "age class and different country"
Author: Anatoly Zhigljavsky; Jack Noonan
Title: Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19
  • Document date: 2020_4_7
    • ID: gm1mb8w5_32
    Snippet: Already when this paper was completed, the authors learned about a preprint [13] which uses SIR modelling to produce somewhat similar conclusions with more specifics for COVID-19 in the UK. However, SIR modelling using numerous age-classes and many equations for each age-class different across different parts of the country resulting in an astronomical number of parameters; this makes any sensitivity analysis to various parameters uncheckable. We.....
    Document: Already when this paper was completed, the authors learned about a preprint [13] which uses SIR modelling to produce somewhat similar conclusions with more specifics for COVID-19 in the UK. However, SIR modelling using numerous age-classes and many equations for each age-class different across different parts of the country resulting in an astronomical number of parameters; this makes any sensitivity analysis to various parameters uncheckable. We believe that a combination of stochastic models like the present one with standard SIR-based models can help in significantly reducing the number of parameters while also adding more flexibility to a hybrid model.

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