An Agent-Based Model of the Diffusion of Covid-19 Using NetLogo, with Susceptible, Infected, symptomatic, asymptomatic, and Recovered people (+)
Version 0.9.3.4, release date: Jul 26th, 2020.
You can run the model directly online or download SIsaR_0.9.3.4.nlogo with right click and run it locally with NetLogo. Here a few slides and here the YouYube channel of the model.
Script capability: the red arrow shows a script window and the blue one a list of short names (with their correspondent long name) to be used there. The instructions are into the Model Info. If you do not want to use the script, simply clear the content of the script window.
We suggest downloading the program to observe the repetition of the experiments, with different starting points (seeds) of the random numbers. This operation is quite smooth, via Behavior Search, which is in the menu Tools of NetLogo. Run the row "experiments with fixed parameters [considering NH [and schools]]." It is possible to analyze the different results of the model at the various checkpoints.
Nota bene. In each series of experiments, we will have variability in the results, although internally consistent. The model makes many agents act and interact; from the complexity point of view, each execution produces a "story," with a specific and unique sequence of emerging effects. Real events would behave in the same way if it were possible to repeat them.
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How to cite:
Terna P., Pescarmona G., Acquadro A., Pescarmona P., Russo G., Terna S. (2020), An Agent-Based Model of the Diffusion of Covid-19 Using NetLogo, URL https://terna.to.it/simul/SIsaR.html
Corresponding author: Pietro Terna
(+) The model uses structural data of Piedmont, an Italian region, but you can calibrate it for other areas following the Info sheet. It follows a calendar of events (comments in Italian there).
(*) We are very grateful to Andrews McMeel LICENSING for the permission of using at no charge the cartoon.
Last update Jul 26th, 2020