S.I.s.a.R.

An Agent-Based Model of the Diffusione of Covid-19 Using NetLogo, with Susceptible, Infected, symptomatic, asymptomatic, and Recovered people



Version 0.8.9.3, release date: May 30th, 2020.

You can run the model directly online or download SIsaR_0.8.9.3.nlogo with right click and run it locally with NetLogo. Here you have a few slides.

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.
Nota bene. 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]." It is possible to analyze the different results of the model at the various checkpoints.
In each set of experiments, the outcomes can belong to different groups, internally consistent, although with variability in numerical values. The model makes many agents act and interact; so, from a complexity perspective, each run is a "story," that produces a specific and unique sequence of emerging effects. The actual history would do the same if it were possible to repeat it.


Everywhere in the world, government leaders are facing DIFFICULT DECISIONS: we hope our model could help, instead of ...

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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

(*) We are very grateful to Andrews McMeel LICENSING for the permission of using at no charge the cartoon.

Last update May 22nd, 2020