Selected article for: "differential equation model and ordinary differential equation model"

Author: Alex James; Shaun C Hendy; Michael J Plank; Nicholas Steyn
Title: Suppression and Mitigation Strategies for Control of COVID-19 in New Zealand
  • Document date: 2020_3_30
  • ID: gc5ieskk_3
    Snippet: We compare the outcomes of suppression and mitigation strategies in Covid-19 using a simple model with New Zealand specific parameters. The model is an ordinary differential equation model with susceptible (S), exposed (E), pre-symptomatic (P), infectious (I) and recovered (R) compartments. Cases are divided into untested (unconfirmed) infections (Iu, Ru) and confirmed cases (It, Rt) ( Figure 1 ). The model is adapted from a model parameterised b.....
    Document: We compare the outcomes of suppression and mitigation strategies in Covid-19 using a simple model with New Zealand specific parameters. The model is an ordinary differential equation model with susceptible (S), exposed (E), pre-symptomatic (P), infectious (I) and recovered (R) compartments. Cases are divided into untested (unconfirmed) infections (Iu, Ru) and confirmed cases (It, Rt) ( Figure 1 ). The model is adapted from a model parameterised by Wilson et al (2020) for Covid19 spread in the NZ population (see Appendix for full model specification). Key assumptions include:

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