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)

Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. - Jessica T. Davis; Matteo Chinazzi; Nicola Perra; Kunpeng Mu; Ana L. Pastore y Piontti; Marco Ajelli; Natalie E. Dean; Corrado Gioannini; Maria Litvinova; Stefano Merler; Luca Rossi 010; Kaiyuan Sun; et al. (Nat., 2021)

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)

Anatomy of the first six months of COVID-19 vaccination campaign in Italy. - Nicolò Gozzi; Matteo Chinazzi; Jessica T. Davis; Kunpeng Mu; Ana L. Pastore y Piontti; Marco Ajelli; Nicola Perra; Alessandro Vespignani (PLoS Comput. Biol., 2022)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)