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Journal articles (2022), The Lancet Digital Health, 4 (1), pp. e27-e36

Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study

KISHORE Nishant, TAYLOR Aimee R, JACOB Pierre , VEMBAR Navin, COHEN Ted, BUCKEE Caroline O, MENZIES Nicolas A

In early 2020, the response to the SARS-CoV-2 pandemic focused on non-pharmaceutical interventions, some of which aimed to reduce transmission by changing mixing patterns between people. Aggregated location data from mobile phones are an important source of real-time information about human mobility on a population level, but the degree to which these mobility metrics capture the relevant contact patterns of individuals at risk of transmitting SARS-CoV-2 is not clear. In this study we describe changes in the relationship between mobile phone data and SARS-CoV-2 transmission in the USA. Link to the article

KISHORE, N., TAYLOR, A.R., JACOB, P., VEMBAR, N., COHEN, T., BUCKEE, C.O. and MENZIES, N.A. (2022). Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study. The Lancet Digital Health, 4(1), pp. e27-e36.