An agent-based stochastic model for the propagation of a virus in a population
| Main Author: | Yiou, Pascal |
|---|---|
| Format: | info software |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3727501 |
Daftar Isi:
- This R code is an agent based stochastic model of the propagation of a virus in a population. The code file is: model_covid.R *Warning It is provided "as is" under a free CeCill License (http://cecill.info/). You can download the code and the sample files, and run the code. Commercial use is not permitted. Bear in mind that I am a data scientist for climate sciences. I am not an epidemiologist. This programme was devised to *illustrate* the impact of confinment on the spread of a virus. The programme was written by Pascal Yiou (LSCE, March 2020). More information (with results and discussion) is given on: https://cygnenoirblog.wordpress.com/2020/03/25/an-agent-based-model-of-covid-19/ The code comes with three sample R files (.Rdata), and three figures (.pdf), and a README.txt file.