A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
51 5 days ago
The System Dynamics Model presents the the COVID-19 status in Сhina
The System Dynamics Model presents the the COVID-19 status in Сhina
Agent based Modeling Simulation for Pandemic COVID-19 Disease
Agent based Modeling Simulation for Pandemic COVID-19 Disease
A simple ABM example illustrating how the SEIR model works. It can be a basis for experimenting with learning the impact of human behavior on the spread of a virus, e.g. COVID-19.
A simple ABM example illustrating how the SEIR model works. It can be a basis for experimenting with learning the impact of human behavior on the spread of a virus, e.g. COVID-19.
The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
Simula las condiciones para una población de 1 millón de habitantes
Simula las condiciones para una población de 1 millón de habitantes
 A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy.  Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover       Assumptions   Govt policy reduces infection and
A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy.  Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover

Assumptions
Govt policy reduces infection and economic growth in the same way.

Govt policy is trigger when reported COVID-19 case are 10 or less.

A greater number of COVID-19 cases has a negative effect on the economy.  This is due to economic signalling that all is not well.

Interesting insights

Higher testing rates trigger more rapid government intervention, which reduces infectious cases.  The impact on the economy, though, of higher detected cases is negative. 




39 2 months ago
This model estimates the deaths due to COVID19 in Bangalore City.  Assumptions:  City has a population = 80 Million  Initial infected population = 10  Probability of infection = 8%  Contact rate in population = 6  Average duration of recovery = 10 days  Death rate = 1%  Quarantine rate = 80%  Delay
This model estimates the deaths due to COVID19 in Bangalore City. 
Assumptions:
City has a population = 80 Million
Initial infected population = 10
Probability of infection = 8%
Contact rate in population = 6
Average duration of recovery = 10 days
Death rate = 1%
Quarantine rate = 80%
Delay in quarantine = 5 days