Optimal control in a malaria model: intervention of fumigation and bed nets

Abstract Malaria is one of the world’s most serious health problems because of the increasing number of cases every year. First, we discuss a deterministic model of epidemic SIR-SI spread of malaria with the intervention of bed nets and fumigation. We found that the malaria-free equilibrium is local...

Full description

Bibliographic Details
Main Authors: Bevina D. Handari, Febyan Vitra, Radhiya Ahya, Tengku Nadya S., Dipo Aldila
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:Advances in Difference Equations
Subjects:
Online Access:https://doi.org/10.1186/s13662-019-2424-6
id doaj-9170305565ad46378edfd6c2f6472c49
record_format Article
spelling doaj-9170305565ad46378edfd6c2f6472c492020-12-06T12:48:47ZengSpringerOpenAdvances in Difference Equations1687-18472019-12-012019112510.1186/s13662-019-2424-6Optimal control in a malaria model: intervention of fumigation and bed netsBevina D. Handari0Febyan Vitra1Radhiya Ahya2Tengku Nadya S.3Dipo Aldila4Department of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaAbstract Malaria is one of the world’s most serious health problems because of the increasing number of cases every year. First, we discuss a deterministic model of epidemic SIR-SI spread of malaria with the intervention of bed nets and fumigation. We found that the malaria-free equilibrium is locally asymptotically stable (LAS) when R0<1 $\mathcal{R}_{0} <1$ and unstable otherwise. A malaria endemic equilibrium exists and is LAS when R0>1 $\mathcal{R}_{0} >1$. Sensitivity analysis of R0 $\mathcal{R}_{0} $ shows that the use of bed nets and fumigation can reduce R0 $\mathcal{R}_{0}$. We modify the previous model into a stochastic differential equation model to understand the effect of random environmental factors on the spread of malaria. Numerical simulations show that when R0>1 $\mathcal{R}_{0} >1$, a greater value of noise intensity σ generates a solution that is different from a deterministic solution; when R0<1 $\mathcal{R}_{0} <1$, regardless of the σ value, the solution approaches a deterministic solution. Then the deterministic model was modified into an optimal control model to determine the best strategy in controlling the spread of malaria by using fumigation as the control variable. Numerical simulations show that periodic fumigations cost less than constant intervention and can reduce the number of infected humans. Priority is given to the endemic prevention strategy rather than to the endemic reduction strategy. For more effective intervention, the value of R0 $\mathcal{R}_{0}$ should receive close attention. A potentially endemic ( R0>1 $\mathcal{R}_{0}>1$) environment requires more frequent fumigation than an environment that is not potentially endemic ( R0<1 $\mathcal{R}_{0}<1$). A combination of the use of bed nets and fumigation can reduce the number of infected individuals at minimal cost.https://doi.org/10.1186/s13662-019-2424-6MalariaOptimal control problemFumigationStochastic differential equation
collection DOAJ
language English
format Article
sources DOAJ
author Bevina D. Handari
Febyan Vitra
Radhiya Ahya
Tengku Nadya S.
Dipo Aldila
spellingShingle Bevina D. Handari
Febyan Vitra
Radhiya Ahya
Tengku Nadya S.
Dipo Aldila
Optimal control in a malaria model: intervention of fumigation and bed nets
Advances in Difference Equations
Malaria
Optimal control problem
Fumigation
Stochastic differential equation
author_facet Bevina D. Handari
Febyan Vitra
Radhiya Ahya
Tengku Nadya S.
Dipo Aldila
author_sort Bevina D. Handari
title Optimal control in a malaria model: intervention of fumigation and bed nets
title_short Optimal control in a malaria model: intervention of fumigation and bed nets
title_full Optimal control in a malaria model: intervention of fumigation and bed nets
title_fullStr Optimal control in a malaria model: intervention of fumigation and bed nets
title_full_unstemmed Optimal control in a malaria model: intervention of fumigation and bed nets
title_sort optimal control in a malaria model: intervention of fumigation and bed nets
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2019-12-01
description Abstract Malaria is one of the world’s most serious health problems because of the increasing number of cases every year. First, we discuss a deterministic model of epidemic SIR-SI spread of malaria with the intervention of bed nets and fumigation. We found that the malaria-free equilibrium is locally asymptotically stable (LAS) when R0<1 $\mathcal{R}_{0} <1$ and unstable otherwise. A malaria endemic equilibrium exists and is LAS when R0>1 $\mathcal{R}_{0} >1$. Sensitivity analysis of R0 $\mathcal{R}_{0} $ shows that the use of bed nets and fumigation can reduce R0 $\mathcal{R}_{0}$. We modify the previous model into a stochastic differential equation model to understand the effect of random environmental factors on the spread of malaria. Numerical simulations show that when R0>1 $\mathcal{R}_{0} >1$, a greater value of noise intensity σ generates a solution that is different from a deterministic solution; when R0<1 $\mathcal{R}_{0} <1$, regardless of the σ value, the solution approaches a deterministic solution. Then the deterministic model was modified into an optimal control model to determine the best strategy in controlling the spread of malaria by using fumigation as the control variable. Numerical simulations show that periodic fumigations cost less than constant intervention and can reduce the number of infected humans. Priority is given to the endemic prevention strategy rather than to the endemic reduction strategy. For more effective intervention, the value of R0 $\mathcal{R}_{0}$ should receive close attention. A potentially endemic ( R0>1 $\mathcal{R}_{0}>1$) environment requires more frequent fumigation than an environment that is not potentially endemic ( R0<1 $\mathcal{R}_{0}<1$). A combination of the use of bed nets and fumigation can reduce the number of infected individuals at minimal cost.
topic Malaria
Optimal control problem
Fumigation
Stochastic differential equation
url https://doi.org/10.1186/s13662-019-2424-6
work_keys_str_mv AT bevinadhandari optimalcontrolinamalariamodelinterventionoffumigationandbednets
AT febyanvitra optimalcontrolinamalariamodelinterventionoffumigationandbednets
AT radhiyaahya optimalcontrolinamalariamodelinterventionoffumigationandbednets
AT tengkunadyas optimalcontrolinamalariamodelinterventionoffumigationandbednets
AT dipoaldila optimalcontrolinamalariamodelinterventionoffumigationandbednets
_version_ 1724398649714147328