A machine learning pipeline for quantitative phenotype prediction from genotype data. - Giorgio Guzzetta; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2010)

Effectiveness of Ultra-Low Volume insecticide spraying to prevent dengue in a non-endemic metropolitan area of Brazil. - Giovanni Marini; Giorgio Guzzetta; Cecilia Marques-Toledo; Mauro Teixeira; Roberto Rosà; Stefano Merler (PLoS Comput. Biol., 2019)

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. - Paolo Cintia; Daniele Fadda; Fosca Giannotti; Luca Pappalardo; Giulio Rossetti; Dino Pedreschi; Salvo Rinzivillo; Pietro Bonato; Francesco Fabbri; Francesco Penone; Marcello Savarese; Daniele Checchi; et al. (CoRR, 2020)

Utilising urgent computing to tackle the spread of mosquito-borne diseases. - Nick Brown 002; Rupert Nash; Piero Poletti; Giorgio Guzzetta; Mattia Manica; Agnese Zardini; Markus Flatken; Jules Vidal; Charles Gueunet; Evgenij Belikov; Julien Tierny; Artur Podobas; et al. (UrgentHPC@SC, 2021)

Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach. - Pier Francesco Caruso; Giovanni Angelotti; Massimiliano Greco; Giorgio Guzzetta; Danilo Cereda; Stefano Merler; Maurizio Cecconi (Int. J. Medical Informatics, 2022)

VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. - Markus Flatken; Artur Podobas; Riccardo Fellegara; Achim Basermann; Johannes Holke; David Knapp; Max Kontak; Christian Krullikowski; Michael Nolde; Nick Brown 002; Rupert Nash; Gordon Gibb; et al. (IEEE Access, 2023)

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance. - Lorenzo Lucchini; Valentina Marziano; Filippo Trentini; Chiara Chiavenna; Elena D'Agnese; Vittoria Offeddu; Mattia Manica; Piero Poletti; Duilio Balsamo; Giorgio Guzzetta; Marco Aielli; Alessia Melegaro; et al. (CoRR, 2024)

Quantifying infectious disease epidemic risks: A practical approach for seasonal pathogens. - Alexander R. Kaye; Giorgio Guzzetta; Michael J. Tildesley; Robin N. Thompson (PLoS Comput. Biol., 2025)