Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. KMITL
  3. Publication
  4. Sensitivity analysis and optimal control for the dynamic mathematical model of cassava mosaic disease
Loading...
Thumbnail Image

Sensitivity analysis and optimal control for the dynamic mathematical model of cassava mosaic disease

Author(s)
Sangsawang, Sireepatch
Humphries, Usa
Khan, Amir
Pongsumpun, Puntani
Date Issued
June 1, 2024
Type
Article
DOI
10.1063/5.0207497
Abstract
Cassava mosaic disease (CMD) is found in many countries around the world. This disease is caused by a mosaic virus carried by whitefly. It hurts the growth and yield of cassava, which in turn causes damage to farmers who grow cassava. In this paper, we present a model for the transmission of CMD dynamics by the ordinary differential equation system and recommend the optimal control for this model when controlling the disease by uprooting diseased cassava and spraying insecticides. For this model analysis, we are given the basic reproductive number R0, which is the threshold number for classifying the disease-free equilibrium point when R0 < 1 and the endemic equilibrium point when R0 > 1 by using the next-generation method. Disease-free equilibrium points and endemic equilibrium points have found conditions of stability. Sensitivity analysis of basic reproductive numbers reveals the impact of the parameters on disease outbreaks. Then, the model is modified to an optimal control problem with two optimal control parameters, in which the goal is to reduce cassava infections to a minimum. The necessary conditions for optimal control of disease were created by Pontryagin’s maximum principle. Numerical simulations are shown to demonstrate the effectiveness of the control system in the final section.
Citation
Aip Advances, 14(6), 2024
Metrics
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback