https://github.com/arjunsavel/covid-hacks-2020

Working with COVID-19 data.
https://github.com/arjunsavel/covid-hacks-2020

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Working with COVID-19 data.

• Host: GitHub
• URL: https://github.com/arjunsavel/covid-hacks-2020
• Owner: arjunsavel
• License: mit
• Created: 2020-03-28T00:16:43.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-06-22T01:32:56.000Z (over 2 years ago)
• Last Synced: 2024-04-20T00:05:21.812Z (9 months ago)
• Language: Jupyter Notebook
• Size: 10 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# covid-hacks-2020

[![Build Status](https://travis-ci.com/arjunsavel/covid-hacks-2020.svg?branch=master)](https://travis-ci.com/arjunsavel/covid-hacks-2020) [![codecov](https://codecov.io/gh/arjunsavel/covid-hacks-2020/branch/master/graph/badge.svg?)](https://codecov.io/gh/arjunsavel/covid-hacks-2020)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Documentation Status](https://readthedocs.org/projects/covid-19-simulations/badge/?version=latest)](https://covid-19-simulations.readthedocs.io/en/latest/?badge=latest)

Simulating and working with COVID-19 data. Our simulation implements an arguably naive agent-based approach, storing data in pandas DataFrames.

![2D animation](https://github.com/arjunsavel/covid-hacks-2020/blob/master/img/2D.gif)

![1D simulation](img/1D.png)

The *.py files contain the scripts necessary to run the simulations in the dimension of your choosing. "Simulation_notebook.ipynb" produces the relevant plots; "Data exploration.ipynb" and "covid_country_data.ipynb" relate to the COVID-19 case data included in this repository; and "performance_testing.ipynb" includes a variety of benchmarks used in the debugging and optimization of the simulation.

Make sure you have the correct dependencies installed — run

     pip install -r requirements.txt

I would recommend doing so in a fresh conda environment.

TODO:

- use a tree code.