Get started
Work

Data and model needs for generalizable inferences linking human mobility and infectious disease transmission

Year: 2024
Type: preprint
Abstract: Mobility data have been used to reconstruct infectious disease dynamics and tailor control and elimination measures. We describe three challenges in using these data and identify opportunities to leverage existing resources, improving our understanding of human mobility. We propose reporting guidelines to increase the interpretation, standardization, and reuse of existing mobility data sets.
DOI: 10.31219/osf.io/y9mzd
Authors: 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 AT Cummings*, Amy Wesolowski
Institutions: Johns Hopkins University, Georgetown University, National Institutes of Health, University of Southampton, Fogarty International Center, University of Washington, University of Florida, Brotman Baty Institute, University of Oxford, Lancaster University
Language: English
Subfield: Transportation
Open Access status: gold
OpenAlex ID: W4400601579
Cites:
Cited by: 1
Related to: 10