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 Daily Hospital Occupancy from COVID-19 in the USA and Canada
  Author(s): Carlos Pedro Gonçalves*
  
  Epidemiological application of chaos theory methods have uncovered the existence of chaotic markers in SARSCoV- 2’s epidemiological data, including low dimensional attractors with positive Lyapunov exponents, and evidence markers of a dynamics that is close to the onset of chaos for different regions. We expand on these previous works, performing a comparative study of United States of America (USA) and Canada’s COVID-19 daily hospital occupancy cases, applying a combination of chaos theory, machine learning and topological data analysis methods. Both countries show markers of low dimensional chaos for the COVID-19 hospitalization data, with a high predictability for adaptive artificial intelligence systems exploiting the recurrence structure of these attractors, with more than 95% R2 scores for up to 42 days ahead prediction. The evidence i.. View more»
  

  DOI: 10.35248/2090-4908.22.11.291

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