An agent-based stochastic model for the propagation of a virus in a population
Description
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.
Files
README.txt
Files
(837.1 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:353910aa4c43c52848ffa03c08a1f317
|
11.3 kB | Download |
|
md5:00dcdabcac709658179c57b3ab5f62f9
|
6.7 kB | Preview Download |
|
md5:90a877b34e369add14fe140706a3f90f
|
5.8 kB | Preview Download |
|
md5:e2141d21ddc77e94d924a077b1220750
|
210.4 kB | Download |
|
md5:a2e57d4fe6b5934d33574f22044d5b10
|
5.7 kB | Preview Download |
|
md5:36daafcd5381093fbb8f2f7ab99c0f28
|
295.7 kB | Download |
|
md5:56cdc138acc5e57a2b439fe8072994e1
|
5.7 kB | Preview Download |
|
md5:b915b8e2f131f53888d136931dde4f2c
|
295.9 kB | Download |