Publications

Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models.

Author(s): Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Vespignani A, Santillana M|Journal: J Med Internet Res|PMID: 32730217| July 2020

The inherent difficulty to identify and monitor emerging outbreaks caused by novel pathogens can lead to their rapid spread; and…

An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time.

Author(s): Kogan NE, Clemente L, Liautaud P, Kaashoek J, Link NB, Nguyen AT, Lu FS, Huybers P, Resch B, Havas C, Petutschnig A, Davis J, Chinazzi M, Mustafa B, Hanage WP, Vespignani A, Santillana M|Journal: ArXiv|PMID: 32676518| July 2020

Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased…

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models.

Author(s): Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Vespignani A, Santillana M|Journal: ArXiv|PMID: 32550248| April 2020

We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning…