102 citations · 102 across the 5 of their papers we have counts for
5 papers
Activity-dependent epidemic spreading on multiscale brain networks predicts Alzheimer's disease progression
Christoffer G. Alexandersen, Suman S. Kulkarni, Jessica T. Davis +3
Neurodegenerative diseases can be viewed as spreading processes on brain networks, in which pathological proteins propagate between anatomically connected brain regions. Mathematic…
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…
An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
Nicole E. Kogan, Leonardo Clemente, Parker Liautaud +14
Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased re-opening of the US amid stil…
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Dianbo Liu, Leonardo Clemente, Canelle Poirier +5
We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably…