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Comportamiento fractal estadístico en la dinámica de epidemia de dengue en Palmira, Valle del Cauca, Colombia. 2001-2004

Translated title of the contribution: Statistical fractal behavior of the dengue epidemic dynamics in palmira, valle del cauca, Colombia between 2001-2004
  • Javier Rodríguez
  • , Signed Prieto
  • , Catalina Correa
  • , Jorge Martín Rodríguez
  • , Alfonso Leyva
  • , Oscar Valero
  • , Ninfa Chaves
  • , Yolanda Soracipa
  • , Alejandro Velasco
  • , Fabricio Rueda

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Introduction: Phenomena such as fetal monitoring and specific T cell repertoire against the allergen Poa p9 have been evaluated through the Zipf/Mandelbrot law. Objective: To establish a methodology for the characterization of the dynamics of dengue in Palmira, Valle del Cauca, Colombia, based on the Zipf/Mandelbrot law during the period 2001-2004. Materials and methods: Using the Zipf-Mandelbrot law, changes by age groups (<1 year, 1-4, 5-14, 15-44, 45-59 and> 60) were evaluated, as well as the complexity of the system versus the number of patients infected with dengue in Palmira, each year between 2001 and 2004. Results were compared to establish variations in the complexity, and simulations of possible behaviors that might arise were performed. Results: Fractal dimensions for each year were among 0.5329 and 0.8703, and for age groups between 0.4694 and 0.6689.The simulations of the dynamics per year presented fractal dimensions between 0.4512 and 0.6316, and age ranges between 0.455 and 0.6095. Conclusion: The dynamic of dengue onset in Palmira is caused by a statistical fractal behavior with finite and limited degrees of complexity, useful in decision-making in public health.

Translated title of the contributionStatistical fractal behavior of the dengue epidemic dynamics in palmira, valle del cauca, Colombia between 2001-2004
Original languageSpanish
Pages (from-to)629-635
Number of pages7
JournalRevista Facultad de Medicina
Volume64
Issue number4
DOIs
StatePublished - 01 Oct 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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