One of the parameters that is studied in this simulation is the percentage of citizens that is required to be in confinement (stay-at-home.) By changing the value of this parameter, the simulation will reflect the corresponding evolution, orange graph, of the number of infected people at any time. The goal of the confinement policy is to flatten the curve so that at any time the total number of infected people is below the resources available in hospitals and the health system in general.
Pandemic Suplementary material of Chapter "A Computational Model of the Mind: How to Think about Complex Systems in Nature" Authors: Juan Carlos Olabe, Xabier Basogain y Miguel Ángel Olabe Year: 2020 Book: Springer Nature, Integrated Science Series Volumen: VOL VI. THINKING: Brain, Decision Making, and Mental Health ISBN/ISSN: 2662-9461 ©STEAM-Euskadi This project was inspired, in part, by simulations in Epidemic Simulation https://scratch.mit.edu/projects/394632935/ by mres https://scratch.mit.edu/users/mres/
