Gradient-based estimation of Manning's friction coefficient from noisy data. - Victor M. Calo; Nathan O. Collier; Matthias Gehre; Bangti Jin; Hany Radwan; Mauricio Santillana (J. Comput. Appl. Math., 2013)

ARGO: a model for accurate estimation of influenza epidemics using Google search data. - Shihao Yang 002; Mauricio Santillana; Samuel C. Kou (CoRR, 2015)

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. - Mauricio Santillana; André T. Nguyen; Mark Dredze; Michael J. Paul; Elaine O. Nsoesie; John S. Brownstein (PLoS Comput. Biol., 2015)

Estimating numerical errors due to operator splitting in global atmospheric chemistry models: Transport and chemistry. - Mauricio Santillana; Lin Zhang 016; Robert Yantosca (J. Comput. Phys., 2016)

Advances in using Internet searches to track dengue. - Shihao Yang 002; Samuel C. Kou; Fred Lu; John S. Brownstein; Nicholas Brooke; Mauricio Santillana (PLoS Comput. Biol., 2017)

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. - Emily L. Aiken; André T. Nguyen; Mauricio Santillana (CoRR, 2019)

Internet search query data improve forecasts of daily emergency department volume. - Sam Tideman; Mauricio Santillana; Jonathan P. Bickel; Ben Reis (J. Am. Medical Informatics Assoc., 2019)

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. - Dianbo Liu; Leonardo Clemente; Canelle Poirier; Xiyu Ding; Matteo Chinazzi; Jessica T. Davis; Alessandro Vespignani; Mauricio Santillana (CoRR, 2020)

Real-time estimation of disease activity in emerging outbreaks using internet search information. - Emily L. Aiken; Sarah F. McGough; Maimuna S. Majumder; Gal Wachtel; André T. Nguyen; Cécile Viboud; Mauricio Santillana (PLoS Comput. Biol., 2020)

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. - Fred S. Lu; André T. Nguyen; Nicholas B. Link; Mathieu Molina; Jessica T. Davis; Matteo Chinazzi; Xinyue Xiong; Alessandro Vespignani; Marc Lipsitch; Mauricio Santillana (PLoS Comput. Biol., 2021)

A nowcasting framework for correcting for reporting delays in malaria surveillance. - Tigist F. Menkir; Horace Cox; Canelle Poirier; Melanie Saul; Sharon Jones-Weekes; Collette Clementson; Pablo M. De Salazar; Mauricio Santillana; Caroline O. Buckee (PLoS Comput. Biol., 2021)

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Mauricio Santillana; Shihao Yang 002; Yao Xie 002 (ACM Trans. Manag. Inf. Syst., 2021)

Machine learning approaches to predicting no-shows in pediatric medical appointment. - Dianbo Liu; Won-Yong Shin; Eli Sprecher; Kathleen Conroy; Omar Santiago; Gal Wachtel; Mauricio Santillana (npj Digit. Medicine, 2022)

Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data. - Pablo M. De Salazar; Fred Lu; James A. Hay; Diana Gomez-Barroso; Pablo Fernández-Navarro; Elena V. Martínez; Jenaro Astray-Mochales; Rocío Amillategui; Ana García-Fulgueiras; Maria D. Chirlaque; Alonso Sánchez-Migallón; Amparo Larrauri; et al. (PLoS Comput. Biol., 2022)

De-identification and Obfuscation of Gender Attributes from Retinal Scans. - Chenwei Wu 006; Xiyu Yang; Emil Ghitman Gilkes; Hanwen Cui; Jiheon Choi; Na Sun; Ziqian Liao; Bo Fan; Mauricio Santillana; Leo A. Celi; Paolo Silva; Luis Filipe Nakayama (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Fine-grained forecasting of COVID-19 trends at the county level in the United States. - Tzu-Hsi Song; Leonardo Clemente; Xiang Pan; Junbong Jang; Mauricio Santillana; Kwonmoo Lee (npj Digit. Medicine, 2025)