Author

Francesco Vairo

Istituto Nazionale per le Malattie Infettive Lazzaro SpallanzaniORCID 0000-0002-8375-7468Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Alessandra D’AbramoiD· 1 shared Alessandro CaponeiD· 1 shared Alimuddin I. ZumlaiD· 1 shared Antonio Addis· 1 shared Barbara BartoliniiD· 1 shared Bertrand De MeulderiD· 1 shared Bradley A. MaroniD· 1 shared Carla NisiiiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alessandra D’AbramoORCID

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2 papers

Recent·Most cited

End-of-outbreak determination under seasonal transmission

William S. Hart, Cathal Mills, Mattia Manica, Francesco Menegale, Martina Spaziante, Francesco Vairo, Piero Poletti, Giorgio Guzzetta, Robin N. Thompson

This study develops a seasonal transmission model to determine when it is safe to relax interventions at the end of an outbreak, showing that incorporating seasonality allows for earlier intervention relaxation.

bioRxiv · Aug 4, 2026 · PreprintEcology

COVID-19: Viral-host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection.

Francesco Messina, Emanuela Giombini, Chiara Agrati, Francesco Vairo, Tommaso Ascoli Bartoli, Samir Al Moghazi, Mauro Piacentini, Franco Locatelli, Gary Kobinger, Markus J. Maeurer, Alimuddin I. Zumla, Maria Rosaria Capobianchi, F. Lauria, Giuseppe Ippolito, COVID 19 INMI Network Medicine for IDs Study Group, , Nicola Segata

The paper analyzes the viral-host interactome of SARS-CoV, MERS-CoV, and HCoV-229E using a network-based approach to predict SARS-CoV-2 pathogenesis.

Journal of Translational Medicine · Jun 10, 2020Peer-reviewedBioinformatics