no code implementations • 12 Mar 2022 • Lucas M. Stolerman, Leonardo Clemente, Canelle Poirier, Kris V. Parag, Atreyee Majumder, Serge Masyn, Bernd Resch, Mauricio Santillana
The ongoing COVID-19 pandemic continues to affect communities around the world.
1 code implementation • 8 Apr 2020 • Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani, Mauricio Santillana
We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably forecast COVID-19 activity in Chinese provinces in real-time.
no code implementations • 6 Nov 2019 • Emily L. Aiken, Andre T. Nguyen, Mauricio Santillana
We introduce the use of a Gated Recurrent Unit (GRU) for influenza prediction at the state- and city-level in the US, and experiment with the inclusion of real-time flu-related Internet search data.
no code implementations • 13 Dec 2015 • Mauricio Santillana, Andre Nguyen, Tamara Louie, Anna Zink, Josh Gray, Iyue Sung, John S. Brownstein
Accurate real-time monitoring systems of influenza outbreaks help public health officials make informed decisions that may help save lives.
no code implementations • 5 May 2015 • Shihao Yang, Mauricio Santillana, S. C. Kou
Accurate real-time tracking of influenza outbreaks helps public health officials make timely and meaningful decisions that could save lives.