Big data and simple models used to track the spread of COVID-19 in cities
Kevin C. Ma () and
Marc Lipsitch ()
Nature, 2021, vol. 589, issue 7840, 26-28
Abstract:
Understanding the dynamics of SARS-CoV-2 infections could help to limit viral spread. Analysing mobile-phone data to track human contacts at different city venues offers a way to model infection risks and explain infection disparities.
Keywords: Epidemiology; SARS-CoV-2; Sociology (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:589:y:2021:i:7840:d:10.1038_d41586-020-02964-4
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DOI: 10.1038/d41586-020-02964-4
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