Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries

por Clemente, Leonardo, Lu, Fred, Santillana, Mauricio
Publicado 2019

Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil

por Koplewitz, Gal, Lu, Fred, Clemente, Leonardo, Buckee, Caroline, Santillana, Mauricio
Publicado 2022

A dynamic, ensemble learning approach to forecast dengue fever epidemic years in Brazil using weather and population susceptibility cycles

por McGough, Sarah F., Clemente, Leonardo, Kutz, J. Nathan, Santillana, Mauricio
Publicado 2021

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

por Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio
Publicado 2020

Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

por Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio
Publicado 2020

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

por Stolerman, Lucas M., Clemente, Leonardo, Poirier, Canelle, Parag, Kris V., Majumder, Atreyee, Masyn, Serge, Resch, Bernd, Santillana, Mauricio
Publicado 2023

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

por Kogan, Nicole E., Clemente, Leonardo, Liautaud, Parker, Kaashoek, Justin, Link, Nicholas B., Nguyen, Andre T., Lu, Fred S., Huybers, Peter, Resch, Bernd, Havas, Clemens, Petutschnig, Andreas, Davis, Jessica, Chinazzi, Matteo, Mustafa, Backtosch, Hanage, William P., Vespignani, Alessandro, Santillana, Mauricio
Publicado 2021