An optimal control problem arising from a dengue disease transmission model.

An optimal control problem for a host-vector Dengue transmission model is discussed here. In the model, treatments with mosquito repellent are given to adults and children and those who undergo treatment are classified in treated compartments. With this classification, the model consists of 11 dynamic equations. The basic reproductive ratio that represents the epidemic indicator is obtained from the largest eigenvalue of the next generation matrix. The optimal control problem is designed with four control parameters, namely the treatment rates for children and adult compartments, and the drop-out rates from both compartments. The cost functional accounts for the total number of the infected persons, the cost of the treatment, and the cost related to reducing the drop-out rates. Numerical results for the optimal controls and the related dynamics are shown for the case of epidemic prevention and outbreak reduction strategies.

[1]  Asep K. Supriatna,et al.  A Two-dimensional Model for the Transmission of Dengue Fever Disease * , 1999 .

[2]  Delfim F. M. Torres,et al.  Dynamics of Dengue epidemics when using optimal control , 2010, Math. Comput. Model..

[3]  Takashi Yoneyama,et al.  Optimal and sub‐optimal control in Dengue epidemics , 2001 .

[4]  O. Diekmann,et al.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations , 1990, Journal of mathematical biology.

[5]  F. Tröltzsch Optimale Steuerung partieller Differentialgleichungen , 2005 .

[6]  Asep K. Supriatna,et al.  A two-age-classes dengue transmission model. , 2008, Mathematical biosciences.

[7]  A. Roddam Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation O Diekmann and JAP Heesterbeek, 2000, Chichester: John Wiley pp. 303, £39.95. ISBN 0-471-49241-8 , 2001 .

[8]  Michael B Nathan,et al.  Cost-effectiveness of a pediatric dengue vaccine. , 2004, Vaccine.

[9]  L. Esteva,et al.  Analysis of a dengue disease transmission model. , 1998, Mathematical biosciences.

[10]  K. A. Sidarto Mathematical Model of Dengue Disease Transmission with Severe DHF Compartment , 2008 .

[11]  Nuning Nuraini,et al.  Mathematical Model of Dengue Disease Transmission with Severe DHF Compartment , 2007 .

[12]  N. Rashevsky,et al.  Mathematical biology , 1961, Connecticut medicine.

[13]  Lourdes Esteva,et al.  A model for dengue disease with variable human population , 1999, Journal of mathematical biology.

[14]  J. O. Irwin,et al.  MATHEMATICAL EPIDEMIOLOGY , 1958 .

[15]  Lourdes Esteva,et al.  Coexistence of different serotypes of dengue virus , 2003, Journal of mathematical biology.

[16]  O. Diekmann,et al.  Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation , 2000 .

[17]  Yanzhao Cao,et al.  Optimal control of vector-borne diseases: Treatment and prevention , 2009 .

[18]  O. Diekmann Mathematical Epidemiology of Infectious Diseases , 1996 .

[19]  Carl Tim Kelley,et al.  Iterative methods for optimization , 1999, Frontiers in applied mathematics.

[20]  James D. Murray Mathematical Biology: I. An Introduction , 2007 .

[21]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[22]  L. Esteva,et al.  Influence of vertical and mechanical transmission on the dynamics of dengue disease. , 2000, Mathematical biosciences.

[23]  Daryl J. Daley,et al.  Epidemic Modelling: An Introduction , 1999 .

[24]  Stefan Ulbrich,et al.  Optimization with PDE Constraints , 2008, Mathematical modelling.

[25]  A. Boutayeb,et al.  A model of dengue fever , 2003, Biomedical engineering online.