This paper discussed regarding a model and an optimal control problem of dengue fever transmission. We classified the model as human and vector (mosquito) population classes. For the human population, there are three subclasses, such as susceptible, infected, and resistant classes. Then, for the vector population, we divided it into wiggler, susceptible, and infected vector classes. Thus, the model consists of six dynamic equations. To minimize the number of dengue fever cases, we designed two optimal control variables in the model, the giving of fogging and vaccination. The objective function of this optimal control problem is to minimize the number of infected human population, the number of vector, and the cost of the controlling efforts. By giving the fogging optimally, the number of vector can be minimized. In this case, we considered the giving of vaccination as a control variable because it is one of the efforts that are being developed to reduce the spreading of dengue fever. We used Pontryagin Minimum Principle to solve the optimal control problem. Furthermore, the numerical simulation results are given to show the effect of the optimal control strategies in order to minimize the epidemic of dengue fever.

1.
Buletin Kementerian Kesehatan Republik Indonesia
,
2016
. http://www.depkes.go.id/folder/view/01/structure-publikasi-pusdatin-buletin.html, accessed 27 April 2016.
2.
D.
Aldila
,
T.
Gotz
, and
E.
Soewono
,
An Optimal Control Problem Arising from a Dengue Disease Transmission Model
,
Journal of Mathematical Biosciences
242
(
2013
)
9
16
.
3.
D.S.
Naidu
,
Optimal Control System
,
USA
:
CRC Press LLC.
,
2002
.
4.
H. M.
Yang
and
C. P.
Ferreira
,
Assessing the Effects of Vector Control on Dengue Transmission
,
Journal of Applied Mathematics and Computation
,
198
(
2008
)
401
413
.
5.
H. S.
Rodrigues
,
M. T. T.
Monteiro
, and
D. F. M.
Torres
,
Vaccination Models and Optimal Control Strategies to Dengue
,
Journal of Mathematical Biosciences
247
(
2014
)
1
12
.
6.
L.
Cai
, L., et. al.,
Global Dynamics of a Dengue Epidemic Mathematical Model
,
Journal of Chaos, Solitons and Fractals
42
(
2009
)
2297
2304
.
7.
L. F.
Shampine
,
J.
Kierzenk
, and
M. W.
Reichelt
,
Solving Boundary Value Problems for Ordinary Differential Equations in Matlab with BPV4C
,
USA
,
2000
.
8.
M. B.
Nathan
, et. al.,
Dengue Guidelines for Diagnosis, Treatment, Prevention and Control. Joint publication of the WHO and Special Programme for Research and TDR
,
2009
.
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