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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Nov 14, 2022
Date Accepted: May 26, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Sganzerla Martinez G, Kelvin D

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

JMIR Public Health Surveill 2023;9:e44286

DOI: 10.2196/44286

PMID: 37347516

PMCID: 10337444

Convergence in mobility datasets from Apple, Google, and Meta

  • Gustavo Sganzerla Martinez; 
  • David Kelvin

ABSTRACT

Tech companies proposed methodologies for capturing populations mobility patterns during the SARS-CoV-2 2020 pandemic. In our work, we report a converged aspect in data collected by Apple, Google, and Meta upon 10 countries with distinct mobile operating system market penetration. We describe the data similarity as a manner to validate collection methodologies, turning mobility trends as a powerful tool to be used as a public health asset.


 Citation

Please cite as:

Sganzerla Martinez G, Kelvin D

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

JMIR Public Health Surveill 2023;9:e44286

DOI: 10.2196/44286

PMID: 37347516

PMCID: 10337444

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