modelCovid_SEIRS_Ext
A compartmental model of COVID infection using demo social distancing factor, contact rate extended by hospital capacity
Extends from Covid_SEIRS (A compartmental model of COVID infection using demo social distancing factor, contact rate).
Information
As modelled in https://towardsdatascience.com/social-distancing-to-slow-the-coronavirus-768292f04296
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Real | alpha (from Covid_SEIRS) | 1/t_incubation | inverse of the incubation period |
| Real | beta (from Covid_SEIRS) | 1.75 | average contact rate |
| Real | gamma (from Covid_SEIRS) | 1/t_infectious | inverse of the mean infectious period |
| Real | t_incubation (from Covid_SEIRS) | 5 | |
| Real | t_infectious (from Covid_SEIRS) | 2 | |
| Types.Fraction | needs_hosp (from Covid_SEIRS) | 0.3 | Fraction of severe cases |
| Types.Fraction | mortality_untreated (from Covid_SEIRS) | 0.6 | Mortality of severe cases, which are left untreated |
| Types.Fraction | mortality_treated (from Covid_SEIRS) | 0.05 | Mortality of treated severe cases |
| Types.Fraction | mortality_unhospitalized (from Covid_SEIRS) | 0.005 | Mortality of apparently mild cases, which does not require hospitalization |
| Real | first_seen (from Covid_SEIRS) | 10 | first measured ill patients |
| Types.Time | t_hospital_stay | 10 |