PyMC3 for COVID-19 Research: Now Published in Science

Hey everybody,

I thought it might be of interest to the community to share that PyMC3 was used in our paper, Inferring the effectiveness of government interventions against COVID-19, which was just published in Science. You can check the paper out here.

Disclaimer: I’m one of the authors :slight_smile:

A short summary: we build a hierarchical Bayesian model that links the timing of interventions to observed cases and deaths (in the first wave) in countries to infer the effectiveness of different interventions against COVID-19. We find that limiting gatherings to fewer than 10 people and closing educational institutions was highly effective.

We’ve released the code and written up some documentation. You can check them out here: code and documentation.

We’d also like to thank the PyMC3 community for their help - I regularly posted questions here over the past few months.


This is wonderful, and congratulations!

If you get a moment, would you consider adding a license to the github repo?

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