17 citations · 18 across the 2 of their papers we have counts for
3 papers
Data-Driven Crowd Dynamics using Kinetic Theory and Ensemble-based Data Assimilation
Santiago Rosa, Manuel Pulido, Orlando Billoni +2
Understanding pedestrian dynamics is critical for mitigating crowd-related risks and improving public safety. In this work, we propose a data-driven mesoscopic modeling framework t…
Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation
Santiago Rosa, Manuel Pulido, Juan Ruiz +1
The COVID-19 pandemic and its multiple outbreaks have challenged governments around the world. Much of the epidemiological modeling was based on pre-pandemic contact information of…
Inference in epidemiological agent-based models using ensemble-based data assimilation
Tadeo Javier Cocucci, Manuel Pulido, Juan Aparicio +3
To represent the complex individual interactions in the dynamics of disease spread informed by data, the coupling of an epidemiological agent-based model with the ensemble Kalman f…