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Codes for: Alba, C & An, R (2023). Using mobile-phone data to assess racial disparities in unhealthy food reliance during the COVID-19 pandemic. Health Data Science

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Codes for paper titled "Using mobile-phone data to assess socio-economic disparities in convenience store and fast food reliance during COVID-19"

Authors: Charles Alba and Ruopeng An

Please Cite as: Alba C, An R. Using Mobile Phone Data to Assess Socio-Economic Disparities in Unhealthy Food Reliance during the COVID-19 Pandemic. Health Data Sci. 2023;3:Article 0101. https://doi.org/10.34133/hds.0101

Research Design

  1. Data Cleaning
  2. Data Wrangling
  3. Data Analysis

Materials

Note: As the materials are 3rd party materials, we cannot share them openly here. The materials are courtesy from the respective sources, so please cite and acknowledge them respectively.

Mobile phone data

SafeGraph's patterns dataset. They can be purchased or obtained for free with special write-in requests here: https://www.deweydata.io/data-partners/safegraph

COVID-19 data

Available through the New York Times COVID-19 data set. It is openly available here: https://github.com/nytimes/covid-19-data

Socio-economic Demographics

Available through American Explorer's 2017-2021 American Community Survey Census dataset. It is openly available here: https://www.socialexplorer.com/tables/ACS2021_5yr

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Codes for: Alba, C & An, R (2023). Using mobile-phone data to assess racial disparities in unhealthy food reliance during the COVID-19 pandemic. Health Data Science

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