Massimo Cavallaro

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Decision Making

Coronavirus Disease

Top Venues

PLoS computational biology

PLOS digital health

Journal of the Royal Society, Interface

This page only lists publications with an associated author ORCID identifier.

Publications

Samuel P C Brand, Massimo Cavallaro, Fergus Cumming, Charlie Turner, Isaac Florence, Paula Blomquist, Joe Hilton, Laura M Guzman-Rincon, Thomas A House, David James Nokes, Matt J Keeling
The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. Nature communications 14 (1) (2023)
Massimo Cavallaro, Ed Moran, Benjamin Collyer, Noel D McCarthy, Christopher A Green, Matt J Keeling
Informing antimicrobial stewardship with explainable AI. PLOS digital health 2 (1) (2023)
Massimo Cavallaro, Louise Dyson, Michael J Tildesley, Dan Todkill, Matt J Keeling
Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis. Journal of the Royal Society, Interface 20 (208) (2023)
Massimo Cavallaro, Yuexuan Wang, Daniel Hebenstreit, Ritabrata Dutta
Bayesian inference of polymerase dynamics over the exclusion process. Royal Society open science 10 (8) (2023)
Massimo Cavallaro, Ed Moran, Benjamin Collyer, Noel D McCarthy, Christopher A Green, Matt J Keeling
Informing antimicrobial stewardship with explainable AI. PLOS digital health 2 (1) (2023)
Massimo Cavallaro, Juliana Coelho, Derren Ready, Valerie Decraene, Theresa Lamagni, Noel D McCarthy, Dan Todkill, Matt J Keeling
Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease. PLoS computational biology 18 (11) (2022)
Massimo Cavallaro, Mark D Walsh, Matt Jones, James Teahan, Simone Tiberi, Bärbel Finkenstädt, Daniel Hebenstreit
3 '-5 ' crosstalk contributes to transcriptional bursting. Genome biology 22 (1) (2021)
Massimo Cavallaro, Haseeb Moiz, Matt J Keeling, Noel D McCarthy
Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. PLoS computational biology 17 (6) (2021)