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. The Lyapunov Analyses of MERS-Cov Transmission in Thailand
Loading...
Thumbnail Image

The Lyapunov Analyses of MERS-Cov Transmission in Thailand

Author(s)
Lamwong, Jiraporn
Pongsumpun, Puntani
Tang, I. Ming
Wongvanich, Napasool
Date Issued
January 1, 2019
Type
Article
DOI
10.14456/cast.2019.11
Abstract
This work investigates the transmission model of MERS-Cov using SEIR model which divides the total human population into four subclasses: susceptible, exposed, infected and recovered. Two * equilibrium points were exhibited: the disease-free equilibrium E1 and the endemic equilibrium E* 2. The basic reproduction number was computed via the next generation method. Two types of global stability of these equilibrium points were investigated through the theory of Lyapunov. Specifically, the exponential stability was investigated using a square type Lyapunov candidate function; while the asymptotic stability was investigated through a Logarithm type Lyapunov candidate function. It is theoretically shown that, when the reproductive number is less than unity. The disease-free equilibrium state is globally asymptotically stable, and the endemic equilibrium state is globally asymptotically stable if the reproductive number is greater than unity. Numerical results with parameters obtained from the previous work also illustrates the global asymptotical stability of the MERS-Cov system. These results can further be used for the design of a controller that drives the MERS-Cov system and the effective control reproductive number is less than 1 so that the stability of the controlled system would be similar to that of the uncontrolled disease-free system.
Citation
Current Applied Science and Technology, 19(2), 112-122, 2019
Subjects

basic reproductive nu...

disease-free equilibr...

endemic equilibrium s...

Global dynamical mode...

Lyapunov function met...

MERS

next generation metho...

transmission model

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