Simulate epidemic spreading in a graph.
This is a simple simulator for the time evolution of an epidemic on a Watts–Strogatz graph.
It has been hacked together to give a visual representation of the dynamics of an epidemic and a playground for understanding how dangeous these dynamics can be.
The graph represents a population of N (>= 100) individuals, such that every day, each individual may transmit a disease to its neighbors. There are several parameters controlling the graph model and the simulation:
- N is the number of individuals
- Degree is the average number of neighbors
- beta controlls the shape of the graph. Experiment with different values and check Wikipedia for more information on its effects
- Disease Transmission Probability (
p_t) The probability that the disease is transmitted to a neighbor each day that an individual is infectious - Days an individual is infectious The number of days an individual is infectious
Node colors in the graph represent the state of each individual:
- Green: subsceptible / not yet infected
- Red: Infected
- Black: Removed (immune or deceased)
The keen-eyed will probably notice that the days parameter could be
"absorbed" into p_t. Doing so, however, will probably not make
explicit the fact that "the more days you are infectious, the more
dangerous it is".
Built with Clojurescript, Cytoscape and Milligram CSS
Probably several. Hopefully not that many that the model is broken.
Copyright © 2020 Nikolaos Vlassopoulos
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.