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This paper is in the following e-collection/theme issue:

#xEpidemiology (10) Public (e)Health, Digital Epidemiology and Public Health Informatics (1163) Statistical Methods for Surveillance and Population Health (199) Influenza and Influenza-Like-Illness (ILI) Surveillance (241) Outbreak and Pandemic Preparedness and Management (1858) #xInfectiousDiseases (38) #xPublicandGlobalHealth (43) Surveillance Methods in Population and Public Health (130)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2025.07.09.25331183v1, first published .
Scientist analyzing data charts on a computer screen in a lab

Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study

Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study

Authors of this article:

Carlos Pedro dos Santos Goncalves1 Author Orcid Image ;   Carlos Rouco1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Carlos Pedro dos Santos Goncalves   1 * , PhD ;   Carlos Rouco   1 * , PhD

1 ECEO - School of Organisational and Economic Sciences - Civil Aviation and Airport Management Department, Lusófona University, Intrepid Lab Hub of Lusófona University at CETRAD, Lisbon, Portugal

*all authors contributed equally

Corresponding Author:

  • Carlos Pedro dos Santos Goncalves, PhD
  • ECEO - School of Organisational and Economic Sciences - Civil Aviation and Airport Management Department
  • Lusófona University, Intrepid Lab Hub of Lusófona University at CETRAD
  • Campo Grande, 376
  • Lisbon 1749-024
  • Portugal
  • Phone: 351 217 515 500
  • Email: p6186@ulusofona.pt