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   
  Low Dimensional Chaotic Attractors in SARS-CoV-2?s Regional Epidemiological Data
  Author(s): Carlos Pedro Gonçalves*
  
  Background: Recent studies applying chaos theory methods have found the existence of chaotic markers in SARSCoV- 2’s epidemiological data, evidence that has implications on the prediction, modeling and epidemiological analysis of the SARS-CoV-2/COVID-19 pandemic with implications for healthcare management. Aim and methods: We study the aggregate data for the new cases per million and the new deaths per million from COVID-19 in Africa, Asia, Europe, North and South America and Oceania, applying chaos theory’s empirical methods including embedding dimension estimation, Lyapunov spectra estimation, spectral analysis and state-ofthe- art topological data analysis methods combining persistent homology, recurrence analysis and machine learning with the aim of characterizing the nature of the dynamics and its predictabil.. View more»
  

  DOI: 10.35248/2090-4908.22.11.271

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