Mathematical modeling of infectious disease and designing vaccination law for control of this diseases

Authors

  • Javad Khaligh PNU,Tehran
  • Aghileh Heydari Payame Noor University, Mashhad
  • Aliakbar Heydari Mashad University of Medical Sciences
  • Siroos Nazari Mashad University of Medical Sciences

DOI:

https://doi.org/10.24297/jam.v9i5.2349

Keywords:

sliding mode control, SEIR disease model, vaccination strategy, infectious disease, Control signal...

Abstract

In this paper, we propose the concept of partial stability instead of that of global stability to deal with the stability issues of epidemic models. The partial stability is able to provide a more meaningful analysis of the problem since it only focuses on the behavior of some of the variables (infected and infectious) instead of the complete population. It has been shown that the vaccination free SEIR model can still be partially stable even when a globally stability property does not hold, for two types of nonlinear incidence rates. By introducing the concept of partial stability and by designing a control vaccination based on it. Guarantee the eradication of an epidemic disease without requiring the global stability of the epidemic model.

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Author Biographies

Javad Khaligh, PNU,Tehran

Department of mathematics

Aghileh Heydari, Payame Noor University, Mashhad

Department of mathematics

Aliakbar Heydari, Mashad University of Medical Sciences

Department of Medical Sciences

Siroos Nazari, Mashad University of Medical Sciences

Department of Medical Sciences

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Published

2014-11-15

How to Cite

Khaligh, J., Heydari, A., Heydari, A., & Nazari, S. (2014). Mathematical modeling of infectious disease and designing vaccination law for control of this diseases. JOURNAL OF ADVANCES IN MATHEMATICS, 9(5), 2623–2629. https://doi.org/10.24297/jam.v9i5.2349

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Section

Articles