A new study published in the journal PLOS Computational Biology reveals how foot traffic data from mobile devices can enhance neighborhood-level COVID-19 forecasts in New York City. The research, led by researchers at Columbia University Mailman School of Public Health and Dalian University of Technology, provides a novel approach to predicting the spread of the SARS-CoV-2 virus and improving targeted public health interventions during future outbreaks…
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