Each test setting used in the simulation, explained below.
This parameter corresponds to the maximum interacting population within the closed space. Although the equations from the paper uses a sigmoid function g(t) to simulate the interacting population as time goes by, we have opted to just let the simulation initialize immediately with the maximum interacting population right from the start. The sigmoid function was specifically used to closely simulate the behavior of humans gradual increase in interaction as the quarantine period goes on, which is not a problem for the agent-based model as the behavior of each agent is set for them to randomly interact with each other, eventually reaching the same behavior that the sigmoid function from the original paper is meant to take care of. Susceptible agents (ones that does not have the virus) are highlighted as blue.
This represents the latency rate (α) parameter from the equations, more specifically its reciprocal, 1/α. The unit of time used for this parameter is a day. Initially, agents that gets the virus will be highlighted orange and be considered as exposed. After an agent will reach the duration from the time they were exposed to the virus be equal to the set parameter will they then be considered as infected.
This represents the ratio of reported cases (ρ). However this parameter may not be fully appreciated in the agent-based modeling version, for the intended purpose of this was to make the simulated results of the equation-based model to be closer to the actual data collected during pandemic times. In here, it would just be a visual indicator. Reported infections will be highlighted red, otherwise violet.
This represents the recovery probability (γ). If an agent recovers, their color will be highlighted yellow. They will now be considered as immune.
This represents the death probability (μ ). If an agent dies, their color will be highlighted black. They will now be considered as dead in which they will not be able to move.
This will set the maximum number of days for each quarantine period. The simulation will stop if it all agents do not have any virus anymore or if the number of ticks (each tick is a day) will be equal to the set quarantine period parameter. To continue the simulation and proceed to the next quarantine period, just press on the "Setup Next Quarantine Period" button and press "Start" again. The number_turtles parameter and this can be changed in between quarantine period setups to better reflect the switching of quarantine periods as mentioned from the paper.
You may use this link to go to the live simulation.