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# How has human mobility changed under the COVID-19 Pandemic?


Preferred citation (DataCite format):  
  Gonzalez, Kelsey (2020).
  How has human mobility changed under the COVID-19 Pandemic?.
  University of Arizona Research Data Repository.
  Figure. https://doi.org/10.25422/azu.data.12374810


Corresponding Author:   
  Kelsey Gonzalez, University of Arizona, kelseygonzalez@email.arizona.edu


License:
  CC BY-NC 4.0


DOI:
  https://doi.org/10.25422/azu.data.12374810


## Summary

This visualization, titled "How has human mobility changed under the COVID-19 Pandemic?" was submitted by Kelsey Gonzalez to the University of Arizona Libraries 2020 Data Visualization Challenge. It received the first place win within the graduate classification.

Submitted Abstract:
This visualization aims to understand population behavior during the COVID-19 pandemic. I use aggregated human mobility data (how far people move each day) from Cuebiq, an offline intelligence and measurement marketing company, which partners with 86 apps to collect first-party location data. Different U.S. states have handled the Covid-19 Pandemic in vastly different ways, with some states still refraining from issuing stay-at-home orders. This has led to very different mobility behaviors by state. I show that the stay-at-home order successfully reduced movement during the week of March 23rd and April 13th, with Americans reverting towards pre-COVID-19 movement patterns in between.



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## Files and Folders


How has human mobility changed under the COVID-19 Pandemic?.gif: Animated GIF containing data visualization



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## Additional Notes


This item is part of University of Arizona Libraries 2020 Data Visualization Challenge, which is available here:
https://doi.org/10.25422/azu.data.c.4986770

References:
Cuebiq. (2020). COVID-19 Mobility Insights - Cuebiq. https://www.cuebiq.com/visitation-insights-covid19/  
Pedersen, T., & Robinson, D. (n.d.). gganimate: A Grammar of Animated Graphics. R package version 1.0.5.9000. https://CRAN.R-project.org/package=gganimate  
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686. http://doi.org/10.21105/joss.01686