**Goal**
We determine social proximity of people to help understand this primary driver of the COVID-19 pandemic. We have made data available for use by others in the Social Contact Index folder. We have provided sample results for Florida in the Social Contact Trend Figures folder.
**Data source**
This work is based on Location Based Services (LBS) data. De-identified, privacy-enhanced data is provided by Cuebiq, which collects first party data anonymously from opted-in users who have provided informed consent through a GDPR and CCPA compliant framework.
**Method**
We cluster data records from LBS to identify crowded places. We consider only data in certain permitted locations. We then estimate the density of people and then calculate the number of contacts generated by each cluster.
**Contact and project web site**
Ashok Srinivasan, asrinivasan@uwf.edu
https://www.cs.fsu.edu/vipra/
**Disclaimers**
Certain quantities are estimated statistically. Given the large amount of data, some of the results would be outliers. We expect users to check for outliers, especially for CBGs with only one cluster.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation, other funding sources, or of the data vendor.
**Permitted whitelisted places**
See: https://www.cs.fsu.edu/vipra/?page_id=695
