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Optimization of dengue epidemics: A test case with different discretization schemes

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Bibliographic Details
Summary:The incidence of Dengue epidemiologic disease has grown in recent decades. In this paper an application of optimal control in Dengue epidemics is presented. The mathematical model includes the dynamic of Dengue mosquito, the affected persons, the people's motivation to combat the mosquito and the inherent social cost of the disease, such as cost with ill individuals, educations and sanitary campaigns. The dynamic model presents a set of nonlinear ordinary differential equations. The problem was discretized through Euler and Runge Kutta schemes, and solved using nonlinear optimization packages. The computational results as well as the main conclusions are shown. © 2009 American Institute of Physics.
Main Authors:Rodrigues, H.S.
Other Authors:Monteiro, M.T.T.; Torres, D.F.M.
Subject:Dengue Euler scheme Nonlinear programming Optimal control Runge kutta scheme
Year:2009
Country:Portugal
Document type:conference output
Access type:restricted access
Associated institution:Universidade de Aveiro
Language:English
Origin:RIA - Repositório Institucional da Universidade de Aveiro
Description
Summary:The incidence of Dengue epidemiologic disease has grown in recent decades. In this paper an application of optimal control in Dengue epidemics is presented. The mathematical model includes the dynamic of Dengue mosquito, the affected persons, the people's motivation to combat the mosquito and the inherent social cost of the disease, such as cost with ill individuals, educations and sanitary campaigns. The dynamic model presents a set of nonlinear ordinary differential equations. The problem was discretized through Euler and Runge Kutta schemes, and solved using nonlinear optimization packages. The computational results as well as the main conclusions are shown. © 2009 American Institute of Physics.