102 citations · 137 across the 12 of their papers we have counts for
14 papers
Driving Epidemic Models with AI Agents: the Epydemix Agent Framework
Nicolò Gozzi, Ciro Cattuto, Alessandro Vespignani
Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic. Here we intro…
The Retraction Epidemic in Science Across Publishers, Fields, and Countries
Sara Venturini, Alessandra Urbinati, Paola Gallo +2
Retractions serve as an indicator of failures in research integrity, yet most analyses focus on absolute counts rather than risk per paper. We use one of the largest open bibliogra…
Block-Fitness Modeling of the Global Air Mobility Network
Giulia Fischetti, Anna Mancini, Giulio Cimini +4
Accurate representations of the World Air Transportation Network (WAN) are fundamental inputs to models of global mobility, epidemic risk, and infrastructure planning. However, hig…
VIBES: A Multi-Scale Modeling Approach Integrating Within-Host and Between-Hosts Dynamics in Epidemics
Paulo Cesar Ventura, Yong Dam Jeong, Maria Litvinova +7
Infectious disease spread is a multi-scale process composed of within-host (biological) and between-host (social) drivers and disentangling them from each other is a central challe…
Spatial scales of COVID-19 transmission in Mexico
Brennan Klein, Harrison Hartle, Munik Shrestha +13
During outbreaks of emerging infectious diseases, internationally connected cities often experience large and early outbreaks, while rural regions follow after some delay. This hie…
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…