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  • [\'RTI International, Washington DC, USA; Epidemiology and Public Health Division, School of Medicine, University of Nottingham, Nottingham. dbisanzio.epi@gmail.com.\', \'Department of Pediatrics, Harvard Medical School, Boston, USA; Computational Epidemiology Lab, Boston Children\'s Hospital, Boston, USA; Department of Zoology, University of Oxford, Oxford. moritz.kraemer@zoo.ox.ac.uk.\', \'Department of Medicine, University of Toronto, Toronto, Canada; Divisions of General Internal Medicine and Infectious Diseases, University Health Network, Toronto. isaac.bogoch@uhn.ca.\', \'Computational Epidemiology Lab, Boston Children\'s Hospital, Boston. thomas.brewer@childrens.harvard.edu.\', \'Department of Pediatrics, Harvard Medical School, Boston; Computational Epidemiology Lab, Boston Children\'s Hospital, Boston. john.brownstein@childrens.harvard.edu.\', \'RTI International, Washington, DC. reithinger@rti.org.\']
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  • -1
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  • 10.4081/gh.2020.882
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  • Geospatial health
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  • 32575957
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  • Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale.
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  • 2020

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