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Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

Medicine and Health

Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

K. Leung, J. T. Wu, et al.

This innovative study by Kathy Leung, Joseph T. Wu, and Gabriel M. Leung introduces a groundbreaking framework that combines digital proxies of human mobility with established epidemic models. This integration allows for near real-time tracking of COVID-19's transmissibility, offering accurate assessments and forecasts to enhance intervention strategies.

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