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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Using symbolic networks to analyse dynamical properties of disease outbreaks

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Author(s):
Herrera-Diestra, Jose L. [1, 2] ; Buldu, Javier M. [3, 4, 5] ; Chavez, Mario [6] ; Martinez, Johann H. [1, 3, 7]
Total Authors: 4
Affiliation:
[1] Univ Estadual Paulista, Inst Fis Teor, ICTP South Amer Inst Fundamental Res, Sao Paulo - Brazil
[2] Univ Los Andes, CeSiMo, Fac Ingn, Merida - Venezuela
[3] Grp Interdisciplinar Sistemas Complejos GISC, Madrid - Spain
[4] Ctr Biomed Technol UPM, Lab Biol Networks, Madrid - Spain
[5] Univ Rey Juan Carlos, Complex Syst Grp, Mostoles - Spain
[6] Hop La Pitie Salpetriere, CNRS, UMR7225, Paris - France
[7] Univ Los Andes, Dept Biomed Engn, Bogota - Colombia
Total Affiliations: 7
Document type: Journal article
Source: PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SC; v. 476, n. 2236 APR 29 2020.
Web of Science Citations: 0
Abstract

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. (AU)

FAPESP's process: 16/01343-7 - ICTP South American Institute for Fundamental Research: a regional center for theoretical physics
Grantee:Nathan Jacob Berkovits
Support Opportunities: Special Projects
FAPESP's process: 17/05770-0 - Exploring electroweak symmetry breaking and the nature of dark matter
Grantee:Bithika Jain
Support Opportunities: Scholarships in Brazil - Post-Doctoral