About covid-19-simulations

https://travis-ci.com/arjunsavel/covid-hacks-2020.svg?branch=master MIT License Documentation Status

We’re seeking to explore problems related to the ongoing COVID-19 pandemic. While an agents-based approach limited by computational tractability will be inherently inaccurate to some degree, we hope that we may be able to gain intuition for questions such as:

  • How effective are lockdowns at different points in the spread of disease?
  • To what extent might we be under-reporting cases?
  • Does quarantining at-risk individuals exclusively for a period of time reduce overall harm?

If you find something that doesn’t work or doesn’t make sense, please file an issue on GitHub. If you’re interested in helping out with the project, we’d love to have you on board! Get in contact (asavel@berkeley.edu) or just fork the repository and start working — we’ll review your pull request when you’re ready!