871 citations · 7k across the 51 of their papers we have counts for
56 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…
Modeling memory in time-respecting paths on temporal networks
Silvia Guerrini, Ciro Cattuto, Lorenzo Dall'Amico
Human close-range proximity interactions are the key determinant for spreading processes like knowledge diffusion, norm adoption, and infectious disease transmission. These dynamic…
Non-traditional data in pandemic preparedness and response: identifying and addressing first and last-mile challenges
Mattia Mazzoli, Irma Varela-Lasheras, Sonia Namorado +10
The pandemic served as an important test case of complementing traditional public health data with non-traditional data (NTD) such as mobility traces, social media activity, and we…
Relationship between household attributes and contact patterns in urban and rural South Africa
Kausutua Tjikundi, Jackie Kleynhans, Stefano Tempia +4
Households play a crucial role in the propagation of infectious diseases due to the frequent and prolonged interactions that typically occur between their members. Recent studies h…
An embedding-based distance for temporal graphs
Lorenzo Dall'Amico, Alain Barrat, Ciro Cattuto
Temporal graphs are commonly used to represent time-resolved relations between entities in many natural and artificial systems. Many techniques were devised to investigate the evol…
Estimating household contact matrices structure from easily collectable metadata
Lorenzo Dall'Amico, Jackie Kleynhans, Laetitia Gauvin +9
Contact matrices are a commonly adopted data representation, used to develop compartmental models for epidemic spreading, accounting for the contact heterogeneities across age grou…