معرفی
Nicolò Gozzi serves as a Senior Research Scientist at the National Research Council of Italy (CNR), specializing in computational approaches to public health challenges. His work bridges epidemiology, network science, and data analytics to address complex disease dynamics through interdisciplinary collaboration with institutions including Northeastern University and the Bruno Kessler Foundation.
Gozzi's research focuses on Computational Epidemiology, Digital Epidemiology, Network Science, and Data Science. He pioneers methods for modeling behavioral responses during pandemics, analyzing mobility networks, and developing forecasting systems. His work integrates digital surveillance with traditional epidemiological frameworks to study vaccine impacts, health inequities, and intervention effectiveness—particularly evident in his extensive contributions to COVID-19 and influenza research.
Analysis of his 15 most recent publications reveals a consistent trajectory in modeling infectious disease dynamics through computational frameworks. His work spans behavioral epidemiology (examining vaccination decisions and risk compensation), network resilience (assessing mobility patterns during interventions), and digital infrastructure applications (including cybersecurity analogies). A defining characteristic is his use of real-world data for policy-relevant forecasting, demonstrated through projects like Influcast and RespiCast.
Gozzi leads or contributes to critical public health infrastructure projects including Epydemix (an open-source epidemic modeling toolkit), AWaRe (global antimicrobial stewardship), Influcast (influenza forecasting), and RespiCast (European respiratory disease hub). These initiatives emphasize collaborative, data-driven approaches to disease surveillance and intervention planning across multiple geographic and institutional contexts.
