Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26064
Title: Chaos analysis and explicit series solutions to the seasonally forced SIR epidemic model
Author: Duarte, Jorge
Martins, Nuno
Rogovchenko, Svitlana
Rogovchenko, Yuriy
Januário, Cristina
Keywords: Explicit solutions
SIR epidemic model
Seasonal fluctuations
Chaotic behavior
Issue Date: 2019
Publisher: Springer
Abstract: Despite numerous studies of epidemiological systems, the role of seasonality in the recurrent epidemics is not entirely understood. During certain periods of the year incidence rates of a number of endemic infectious diseases may fluctuate dramatically. This influences the dynamics of mathematical models describing the spread of infection and often leads to chaotic oscillations. In this paper, we are concerned with a generalization of a classical Susceptible-Infected-Recovered epidemic model which accounts for seasonal effects. Combining numerical and analytic techniques, we gain new insights into the complex dynamics of a recurrent disease influenced by the seasonality. Computation of the Lyapunov spectrum allows us to identify different chaotic regimes, determine the fractal dimension and estimate the predictability of the appearance of attractors in the system. Applying the homotopy analysis method, we obtain series solutions to the original nonautonomous SIR model with a high level of accuracy and use these approximations to analyze the dynamics of the system. The efficiency of the method is guaranteed by the optimal choice of an auxiliary control parameter which ensures the rapid convergence of the series to the exact solution of the forced SIR epidemic model.
Peer review: yes
URI: http://hdl.handle.net/10773/26064
DOI: 10.1007/s00285-019-01342-7
ISSN: 0303-6812
Appears in Collections:CIDMA - Artigos
SCG - Artigos

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