Optimal control of an age-structured SVIRS model with treatment and vaccination

Authors

  • Xi-Chao Duan
  • Xue-Zhi Li*
  • Maia Martcheva Department of Mathematics University of Florida

Abstract

We develop and analyze an age-structured SVIRS epidemic model withВ ages of vaccination [1] and recovery which allows for variations inВ the exit rate of the removed as a function of age (time since recovery)В and variations in the vaccine loss rate as a function of age (timeВ since vaccination). We show that the age-structured model has oneВ disease-free steady state and an endemic steady state. Local andВ global stability analysis show that the disease-free steady stateВ is locally and globally stable if the reproduction number is belowВ one. This means that if the reproduction number is reduced belowВ one, say through vaccination or treatment, the disease will beВ eliminated. In addition, to provide a better understanding of theВ interaction between treatment and vaccination, we formulate anВ optimal control problem [2] for the age-structured model and then derive the existence of solutions to the optimal control problemВ from optimal control theory. The optimal treatment and vaccinationВ strategies are obtained by solving the corresponding optimalityВ system numerically. It is demonstrated by numerical simulationsВ that the effectivenessВ of the optimal therapy and vaccination protocolsВ would be strongly affected by the recovery age of the removed.

Author Biography

Maia Martcheva, Department of Mathematics University of Florida

Department of Mathematics

Professor

References

Iannelli M., Martcheva M., Li X.-Z., Strain replacement in an epidemic model with super-infection and perfect vaccination, Mathematical Biosciences, 195 (1) (2005), 23--46.

Blayneh K., Cao Y., Kwon H-D., Optimal control of vector-borne

diseases: treatment and prevention, Discrete Continuous Dyn Syst

B, 11(3) (2009), 587-611.

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Published

2018-01-15

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Section

Conference Contributions