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Modeling the rate of spread of Covid-19 between susceptible, infected, and recovered populations, as well as analyzing different financial plans to slow down the spread

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payral/Python_Covid19Modeling

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Python_Covid19Modeling

Modeling the rate of spread of Covid-19 between susceptible, infected, and recovered populations, as well as analyzing different financial plans to slow down the spread

I did this project for my senior year capstone class at UCSB.

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Covid19Modeling.ipynb: Part 1 of the project, simulating susceptible, infected, and recovered populations

SocialDistancingAndBudgeting: Part 2 of the project, modeling the affect of social distancing and ad campaigns on the population

Covid19Presentation.pdf: Final poster of the project, explaining findings and designing future work

part1a.npz: Numpy zipped data for the first part of the project

part1b.npz: Numpy zipped data for the first part of the project

part2.npz: Numpy zipped data for the second part of the project

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Modeling the rate of spread of Covid-19 between susceptible, infected, and recovered populations, as well as analyzing different financial plans to slow down the spread

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