Alessandro Vespignani
Mathematics · Indiana University
Publications
566
Citations
84,858
Est. group size
—
Recurring co-author estimate
Active years
37
Publishing since 1990
Alessandro Vespignani studies how diseases spread through populations using mathematical and computational models, combining large-scale data with network science to forecast epidemics. Recent work focuses heavily on modeling and forecasting COVID-19 and other respiratory illnesses, evaluating vaccination strategies, and building surveillance systems such as aircraft-based wastewater monitoring. The research also touches on complex networks, opinion dynamics, and interactions between humans and artificial intelligence.
Publication activity peaked sharply in 2020-2021 during the pandemic and has since settled to a lower, roughly steady pace of around 16 papers per year.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- The Retraction Epidemic in Science Across Publishers, Fields, and Countries
arXiv (Cornell University) · 2026
- Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach
medRxiv · 2026
- The Retraction Epidemic in Science Across Publishers, Fields, and Countries
arXiv (Cornell University) · 2026
- Adaptive multi-model ensembles for improved epidemic projections and decision support
medRxiv · 2026
- Pandemic monitoring with global aircraft-based wastewater surveillance networks
Nature Medicine · 2025
- Comparative evaluation of behavioral epidemic models using COVID-19 data
Proceedings of the National Academy of Sciences · 2025
- Collaborative forecasting of influenza-like illness in Italy: The Influcast experience
Epidemics · 2025
- Scenario Projections of COVID-19 Burden in the US, 2024-2025
JAMA Network Open · 2025
- Performance evaluation of RespiCast ensemble forecasts for primary care syndromic indicators of viral respiratory disease in Europe
medRxiv · 2025
- Evaluation of stochastic trajectory-based epidemic models using the energy score
medRxiv · 2025
- Human-AI Coevolution (Abstract Reprint)
2025
- Scenario Projections of COVID-19 Burden in the US, 2024-2025
UNC Libraries · 2025
- Human-AI coevolution
Artificial Intelligence · 2024
- Challenges of COVID-19 Case Forecasting in the US, 2020–2021
PLoS Computational Biology · 2024
- Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
PLoS Medicine · 2024
- medRxiv×45
- arXiv (Cornell University)×13
- Nature Communications×12
- Proceedings of the National Academy of Sciences×9
- Zenodo (CERN European Organization for Nuclear Research)×9
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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