Improving mobility data for infectious disease research

Natalya Kostandova (), Ronan Corgel, Shweta Bansal, Sophie Bérubé, Eimear Cleary, Chelsea Hansen, Matt D. T. Hitchings, Bernardo García-Carreras, Lauren Gardner, Moritz U. G. Kraemer, Shengjie Lai, Yao Li, Amanda C. Perofsky, Giulia Pullano, Jonathan M. Read, Gabriel Ribeiro dos Santos, Henrik Salje, Saki Takahashi, Cécile Viboud, Jasmine Wang, Derek A. T. Cummings and Amy Wesolowski
Additional contact information
Natalya Kostandova: Johns Hopkins Bloomberg School of Public Health
Ronan Corgel: Johns Hopkins Bloomberg School of Public Health
Shweta Bansal: Georgetown University
Sophie Bérubé: Johns Hopkins Bloomberg School of Public Health
Eimear Cleary: University of Southampton
Chelsea Hansen: National Institutes of Health
Matt D. T. Hitchings: University of Florida
Bernardo García-Carreras: University of Florida
Lauren Gardner: Johns Hopkins Bloomberg School of Public Health
Moritz U. G. Kraemer: University of Oxford
Shengjie Lai: University of Southampton
Yao Li: Johns Hopkins Bloomberg School of Public Health
Amanda C. Perofsky: National Institutes of Health
Giulia Pullano: Georgetown University
Jonathan M. Read: Lancaster University
Gabriel Ribeiro dos Santos: University of Cambridge
Henrik Salje: University of Cambridge
Saki Takahashi: Johns Hopkins Bloomberg School of Public Health
Cécile Viboud: National Institutes of Health
Jasmine Wang: Johns Hopkins Bloomberg School of Public Health
Derek A. T. Cummings: University of Florida
Amy Wesolowski: Johns Hopkins Bloomberg School of Public Health

Nature Human Behaviour, 2025, vol. 9, issue 7, 1309-1312

Abstract: Mobility data can help to reconstruct infectious disease dynamics and tailor control and elimination measures. We describe three challenges and opportunities to improve our understanding of human mobility for infectious disease research. We call for simulation and modelling, reporting guidelines and investment in data repositories.

Date: 2025
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DOI: 10.1038/s41562-025-02151-3

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