Foot traffic can predict COVID-19 spread in New York City neighborhoods
A new study reveals how foot traffic data from mobile devices can enhance neighborhood-level COVID-19 forecasts in New York City, providing a novel approach to predicting the spread of the SARS-CoV-2 virus and improving targeted public health interventions.
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