/TIGR

Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)

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Crowd-sourced COVID-19 Dataset Tracking Involuntary Government Restrictions (TIGR)

Step 1: Think of a restriction you heard a government imposing to try to fight COVID-19, like...

On March 12th, Ohio banned gatherings of more than 100 people

On March 15th, Saudi Arabia banned flights to and from hotspot countries

On January 23, Wuhan, China restricted all nonessential domestic travel.

Any example back to December 1, 2019

Step 2: Find an online news article that documents that restriction

Google News

Reddit

Wikipedia's citations

Step 3: Convince yourself that the restriction was

  • By a government

  • Mandatory (legally required)

  • New (a change to the previous rules)

and was not ....

  • A recomendation (CDC recommending canceling gatherings of more than 50 people)

  • Private (Google requested its employees transition to working remotely)

  • Pre-existing (Don't report that China currently has a ban on flights now, only report if China made the CHANGE on the date you give)

Step 4 Submit a report of it to the dataset

Step 5 when all done remember to

Share the project on Twitter https://twitter.com/RexDouglass/status/1240033447948648449

View the Data Collected So Far

Submit another Report

FAQ

Q:Who? A: Corresponding author Rex W. Douglass (PhD) @RexDouglass

Q:Where? A: The Machine Learning for Social Science Lab, Center for Peace and Security Studies, University of California San Diego

Q:Why? A: We don't know the answers to two important questions:

  1. How government interventions changes the rate of growth in COVID19 spread within a community

  2. What determines when governments will implement some interventions rather than others

Q: How? A: The data and code are release under Creative Commons Attribution-ShareAlike

If you use this in analysis or reproduce it in any way, it must be accompanied with the latest citation available here