2015
DOI: 10.1142/s1793524515500655
|View full text |Cite
|
Sign up to set email alerts
|

Using contaminated tools fuels outbreaks of BananaXanthomonas wilt: An optimal control study within plantations using Runge–Kutta fourth-order algorithms

Abstract: Optimal control theory is applied to a system of ordinary differential equations modeling banana Xanthomonas wilt within plantations. The objective is to reduce the proportion of infected plants by use of controls representing two types of preventive methods: vector and contaminated tool prevention. The optimal controls are characterized in terms of the optimality system, which is solved analytically and numerically for several scenarios.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
10
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(14 citation statements)
references
References 17 publications
0
10
0
Order By: Relevance
“…Optimal control modeling has been extensively used to understand biomedical problems and suggest optimal control combinations that will minimize the costs [10][11][12][13][14]. Our model focuses on determining the optimal control combination within smallholder plantations with mixed cultivars given that in banana cropping system different cultivars are managed differently and the risk of infection is also different.…”
Section: Introductionmentioning
confidence: 99%
“…Optimal control modeling has been extensively used to understand biomedical problems and suggest optimal control combinations that will minimize the costs [10][11][12][13][14]. Our model focuses on determining the optimal control combination within smallholder plantations with mixed cultivars given that in banana cropping system different cultivars are managed differently and the risk of infection is also different.…”
Section: Introductionmentioning
confidence: 99%
“…Likewise, Nakakawa et al (2016) presented a mathematical model for BXW propagated by an insect vector. The mathematical model they formulated takes into account inflorescence infection and vertical transmission from the mother corm to the daughter hills, but not tool-based transmission by humans (Nakakawa et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…It was established that at appropriate roguing and replanting rates, the disease can be contained. Nannyonga et al [15] used optimal control theory to study the dynamics of BXW within plantations with controls targeting transmission via vectors and contaminated tools. Their model incorporated vertical transmission of the disease from mother plant to emerging suckers.…”
Section: Introductionmentioning
confidence: 99%