https://github.com/horheynm/modelingebolaspread_sir
SIR approximation model
https://github.com/horheynm/modelingebolaspread_sir
differential-equations numerical-solvers runge-kutta simulation
Last synced: about 1 year ago
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SIR approximation model
- Host: GitHub
- URL: https://github.com/horheynm/modelingebolaspread_sir
- Owner: horheynm
- Created: 2020-11-19T12:12:41.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-04-02T04:25:16.000Z (about 3 years ago)
- Last Synced: 2025-02-09T08:44:33.257Z (over 1 year ago)
- Topics: differential-equations, numerical-solvers, runge-kutta, simulation
- Language: MATLAB
- Homepage:
- Size: 3.03 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Predicting the spread of Ebola virus in Sierra Leone using an Epidemiological model
A SIR epidemiological model was used to predict the virus spread in Sierra Leone -- when Ebola was the hot topic in 2015.
Model is based on differential equation, and we use Runge Kutta method to approximate the numerical solution. The assumptions are:
1. At least one person is infected in the population
2. The population, rate of infection, rate of recovery, rate of death is fixed
3. Once recovered, one cannot be re-infected
We were surprised to see how closely it resembled the actual real-world scenario with a simple model. The trend of the model was very similar.