INVESTIGADORES
LOTITO Pablo Andres
artículos
Título:
Analyzing spatial mobility patterns with Time-Varying Graphical Lasso. Application to COVID-19 spread
Autor/es:
IVÁN DEGANO; PABLO A. LOTITO
Revista:
Transactions in Geographic Information Systems
Editorial:
Wiley
Referencias:
Lugar: Los Angeles; Año: 2021
ISSN:
1361-1682
Resumen:
This work applies the time-varying graphical lasso (TVGL) method, an extension of the traditional graphical lasso approach, to address learning time-varying graphs from spatiotemporal measurements. Given georeferenced data, the TVGL method can estimate a time-varying network where an edge represents a partial correlation between two nodes. To achieve this, we use a COVID-19 dataset from the Argentine province of Chaco. As an application, we use the estimated network to study the impact of the COVID-19 confinement measures and evaluate whether the actions produced the expected result.
