Journal ArticleDOI
Revisited measles and chickenpox dynamics through orthogonal transformation.
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TLDR
A new method for the detection and extraction of hidden periodic components embedded in an irregular cyclical series is proposed, and the characterization of the epidemiological series in terms of the characteristic features or periodicity attributes of the extracted components is studied.About:
This article is published in Journal of Theoretical Biology.The article was published on 1999-03-21. It has received 5 citations till now. The article focuses on the topics: Epidemic model.read more
Citations
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Journal ArticleDOI
Assessing determinism of photo-plethysmographic signal
TL;DR: It is shown that the degree of chaos as well as the underlying determinism is directly related to the subject's clinical stability.
Journal Article
Nonlinear properties of measles epidemic data assessed with a kernel nonparametric identification approach
Luis Garcia Dominguez,Maicel Pérez Monzón,Lourdes Hernández Martinez,José Luis Hernández Cáceres +3 more
TL;DR: In this article, a kernel nonparametric nonlinear autoregression was applied to measles data from the pre-vaccination era (1944-1966) and a slowly sliding time window covered 20 overlapping segments of the series.
Proceedings ArticleDOI
An Integrating Computational Approach Review to Analyse the Biological Functions
TL;DR: In this paper , the fractal theory has been reviewed in the context of bio-functional and biomedical complex systems, which can be used in analyzing complex biological structures such as chromatin structures.
Proceedings ArticleDOI
An Integrating Computational Approach Review to Analyse the Biological Functions
TL;DR: In this paper , the fractal theory has been reviewed in the context of bio-functional and biomedical complex systems, which can be used in analyzing complex biological structures such as chromatin structures.
Nonlinear properties of measles epidemic data assessed with a kernel nonparametric identification approach
Comité Científico,Rev Electron Biomed,Electron J Biomed,Mario Arturo,González Mariño,David Montaño Inturias +5 more
TL;DR: In this article, a kernel nonparametric nonlinear autoregression was applied to measles data from the pre-vaccination era (1944-1966) and a slowly sliding time window covered 20 overlapping segments of the series.