COVID + policy , but we are going to study how covid affect policy
Draft
David’s thought was
- clean the policy data to just the various yes/no flags and the dates of the time-points
- get the updated COVID data
- get a decision tree to try to use the COVID data to predict the policy data
either that will see something that seems to make sense (suggesting that the numbers are driving the policy) or we won’t (suggesting that the policy is being driven by factors other than what is happening with the pandemic)
Dataset
Source
Policy
https://github.com/HenryVarro666/covid-policy-tracker
COVID Case
https://github.com/CSSEGISandData/COVID-19
https://github.com/nytimes/covid-19-data
Countries
- US
- China
- Italy
- UK
then maybe also do breakdown by states
(That is definitely more than enough, and we can stop partway through if it is too much and still have something)