Predictive modeling of the chikungunya epidemic.

Published 2016-05-11
Artículos científicos

Abstract

 ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA

This article presents the preliminary results of a multidisciplinary research carried out on a project seedbed at the EAN University, which aims at developing a predictive mathematical model of the Chikungunya dissemination in Colombia. To address the epidemic, it is necessary to dispose of predictions about the dissemination of the disease that favor the planning of the necessary health responses as well as the evaluation of the effectiveness of contrasting actions, such as the chemical or biological control of mosquito vectors. This work presents the essential elements for the construction of mathematical models based on a system of differential equations, whose solution in time provide a prediction of human populations and vectors infected with the Chikungunya virus.  This work is based on the modeling techniques of biological systems; and from a literature review it aims at building a model that includes the main issues affecting the velocity of propagation of the disease that can be adapted to the specific conditions of the subject area under study. The final result of the research will provide a valuable tool to improve decision-making regarding the most suitable answers to contrast and control the dissemination of the Chikungunya..

 

Authors

  • Felipe Martínez T.

  • Geovanni Gil C.

  • Nikolai Guzmán G.

  • Tania Castañeda

  • Nicolas Buitrago

  • Eder Bohórquez

  • Ivan Mura

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