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Convergence in Mobility Data Sets From Apple, Google, and Meta.

Gustavo Sganzerla MartinezDavid J Kelvin
Published in: JMIR public health and surveillance (2023)
Our findings provide valuable insights into the ways in which major disruptive events can impact patterns of human mobility; moreover, the convergence of data across distinct methodologies highlights the potential value of leveraging mobility data from multiple sources for informing public health decision-making. Therefore, we conclude that the use of mobility data is an asset for health authorities to consider during natural disasters, as we determined that the data sets from 3 companies yielded convergent mobility patterns. Comparatively, data obtained from a single source would be limited, and therefore, more difficult to interpret, requiring careful analysis.
Keyphrases
  • public health
  • electronic health record
  • big data
  • healthcare
  • decision making
  • data analysis
  • endothelial cells
  • climate change
  • deep learning
  • social media