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JMIR Public Health and Surveillance|April 5, 2019
Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American CountriesLeonardo Clemente, Fred Lu, Mauricio SantillanaEpidemics|February 22, 2025
A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited dataAustin G Meyer, Fred Lu, Leonardo Clemente, et al.Journal of the Royal Society, Interface|June 15, 2021
A dynamic, ensemble learning approach to forecast dengue fever epidemic years in Brazil using weather and population susceptibility cyclesSarah F McGough, Leonardo Clemente, J Nathan Kutz, et al.Plos Neglected Tropical Diseases|January 24, 2022
Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in BrazilGal Koplewitz, Fred Lu, Leonardo Clemente, et al.NPJ Digital Medicine|April 11, 2025
Fine-grained forecasting of COVID-19 trends at the county level in the United StatesTzu-Hsi Song, Leonardo Clemente, Xiang Pan, et al.Nature Communications|January 13, 2019
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approachesFred S Lu, Mohammad W Hattab, Cesar Leonardo Clemente, et al.Medrxiv : the Preprint Server for Health Sciences|January 31, 2024
Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United StatesTzu-Hsi Song, Leonardo Clemente, Xiang Pan, et al.Nature Communications|May 19, 2026
A real-time early warning system to anticipate respiratory disease outbreaks using transfer learningRaul Garrido-Garcia, Leonardo Clemente, Austin G Meyer, et al.Journal of Medical Internet Research|September 22, 2020
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic ModelsDianbo Liu, Leonardo Clemente, Canelle Poirier, et al.Journal of Medical Internet Research|July 31, 2020
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic ModelsDianbo Liu, Leonardo Clemente, Canelle Poirier, et al.Pageof 2