Profile
Nicola is a Reader in Applied Mathematics at the School of Mathematical Science. His research focuses on human dynamics, data analytics, network science, mathematical and digital epidemiology.
After completing his PhD in theoretical physics at the University of Cagliari (Italy), he held various positions at Indiana University, Northeastern University, and Greenwich University.
For Nicola's personal webpage, please visit http://www.nicolaperra.com/
Research
Research Interests:
See Nicola Perra’s research profile pages including details of research interests, publications, and live grants.
Publications
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(2025). Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration PLoS Computational Biology nameOfConference.
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(2025). Social inequalities in vaccine coverage and their effects on epidemic spreading PLoS Computational Biology nameOfConference.
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(2025). Controlling the spread of deception-based cyber-threats on time-varying networks journal nameOfConference.
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(publicationYear). Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout PLOS Computational Biology nameOfConference.
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(2025). Comparative evaluation of behavioral epidemic models using COVID-19 data Proceedings of the National Academy of Sciences of the United States of America nameOfConference.
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(2025). Collaborative forecasting of influenza-like illness in Italy: The Influcast experience Epidemics nameOfConference.
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(2024). Real-time Estimates of the Emergence and Dynamics of SARS-CoV-2 Variants of Concern: A Modeling Approach Epidemics: The Journal on Infectious Disease Dynamics nameOfConference.
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(2024). Bridging the digital divide: mapping Internet connectivity evolution, inequalities, and resilience in six Brazilian cities EPJ Data Science nameOfConference.
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(publicationYear). Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout Plos Computational Biology nameOfConference.
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(2024). Generalized Contact Matrices Allow Integrating Socio-economic Variables into Epidemic Models Science Advances nameOfConference.