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https://github.com/wbhob/covid-19-model
A model representing why social distancing works.
https://github.com/wbhob/covid-19-model
Last synced: 8 days ago
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A model representing why social distancing works.
- Host: GitHub
- URL: https://github.com/wbhob/covid-19-model
- Owner: wbhob
- License: mit
- Created: 2020-03-19T17:18:08.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-19T22:08:58.000Z (almost 5 years ago)
- Last Synced: 2024-12-01T13:49:00.012Z (2 months ago)
- Language: Processing
- Size: 8.79 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# COVID-19 Social Distancing Model
This model is built using Processing. Please download the latest version and run `covid_19_model.pde`.
## Customization
I've made some variables you can experiment with to see how they affect the spread of the disease. Here's what each variable represents:
`infectionChance` - the chance out of 100 that contact with an infected blob will lead to infection
`recoveryChance` - the chance out of 100 that an infected blob will not die after the disease runs its course
`isolationChance` - the chance that a blob will be isolated. in other words, the percentage of blobs that are practicing social distancing.
`sicknessLength` - the duration, in frames, that the blob has the illness.
`blobCount` - the number of blobs in the model region. Can be used to adjust the density.
## Open Source/Legal
This project is free and open-source for commercial or personal usage or modification with or without attribution. This model was made for educational purposes, and should not be used for official projections without modification. If you have any questions, please open an issue.