International Journal of Swarm Intelligence and Evolutionary Computation

Department of Management on Civil Aviation and Airports, Lusophone University of Humanities and Technologies, Lisbon, Portugal

Publications

• Research Article   
  Epidemiological Rogue Waves and Chaos-Induced Multifractal Self-Organized Criticality in COVID-19
  Author(s): Carlos Pedro Gonçalves*
  
  A rogue wave epidemiological pattern has been identified as a predominant pattern in COVID-19 epidemiological series with emergent chaotic attractors for different world regions. In the present work, we study People Republic of China’s daily new number of confirmed cases of COVID-19 from 2020-01-03 to 2023-10-27, which provides for a long series with a rogue wave pattern, and apply to this series multifractal analysis, smart topological data analysis and chaos theory, finding that the rogue wave pattern is linked to chaos-induced multifractal self-organized criticality, the source of the rogue wave is shown to be associated with an emergent three-dimensional chaotic attractor with a three winged structure, explaining the rogue wave dynamics, the reconstructed attractor is shown to have exploitable topological information that can be used by adaptive A.I. sys.. View more»
  

  DOI: 10.35248/2090-4908.24.13.367

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