Artículos de revistas
Using symbolic networks to analyse dynamical properties of disease outbreaks
Fecha
2020-04-29Registro en:
Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences. London: Royal Soc, v. 476, n. 2236, 18 p., 2020.
1364-5021
10.1098/rspa.2019.0777
WOS:000530375100004
Autor
Universidade Estadual Paulista (Unesp)
Univ Los Andes
Grp Interdisciplinar Sistemas Complejos GISC
Ctr Biomed Technol UPM
Univ Rey Juan Carlos
Hop La Pitie Salpetriere
Institución
Resumen
We introduce a new methodology, which is based on the construction of epidemic networks, to analyse the evolution of epidemic time series. First, we translate the time series into ordinal patterns containing information about local fluctuations in disease prevalence. Each pattern is associated with a node of a network, whose (directed) connections arise from consecutive appearances in the series. The analysis of the network structure and the role of each pattern allows them to be classified according to the enhancement of entropy/complexity along the series, giving a different point of view about the evolution of a given disease.