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Unpredictability in seasonal infectious diseases spread

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Author(s):
Gabrick, Enrique C. ; Sayari, Elaheh ; Protachevicz, Paulo R. ; Szezech Jr, Jose D. ; Iarosz, Kelly C. ; de Souza, Silvio L. T. ; Almeida, Alexandre C. L. ; Viana, Ricardo L. ; Caldas, Ibere L. ; Batista, Antonio M.
Total Authors: 10
Document type: Journal article
Source: CHAOS SOLITONS & FRACTALS; v. 166, p. 8-pg., 2022-12-13.
Abstract

In this work, we study the unpredictability of seasonal infectious diseases considering a SEIRS model with seasonal forcing. To investigate the dynamical behaviour, we compute bifurcation diagrams type hysteresis and their respective Lyapunov exponents. Our results from bifurcations and the largest Lyapunov exponent show bistable dynamics for all the parameters of the model. Choosing the inverse of latent period as control parameter, over 70% of the interval comprises the coexistence of periodic and chaotic attractors, bistable dynamics. Despite the competition between these attractors, the chaotic ones are preferred. The bistability occurs in two wide regions. One of these regions is limited by periodic attractors, while periodic and chaotic attractors bound the other. As the boundary of the second bistable region is composed of periodic and chaotic attractors, it is possible to interpret these critical points as tipping points. In other words, depending on the latent period, a periodic attractor (predictability) can evolve to a chaotic attractor (unpredictability). Therefore, we show that unpredictability is associated with bistable dynamics preferably chaotic, and, furthermore, there is a tipping point associated with unpredictable dynamics. (AU)

FAPESP's process: 22/05153-9 - Neuronal networks with short-term plasticity
Grantee:Paulo Ricardo Protachevicz
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 18/03211-6 - Non linear dynamics
Grantee:Iberê Luiz Caldas
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 20/04624-2 - Synaptic plasticity in neuronal networks
Grantee:Paulo Ricardo Protachevicz
Support Opportunities: Scholarships in Brazil - Post-Doctoral