10.30495/ijm2c.2021.685128

Stability Analysis of a Staged Progression Susceptibility Model for Infectious Diseases

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  • Jean Pierre II KOUENKAM1,
  • Gilbert Chendjou1,
  • Jose MBANG*2,
  • Yves EMVUDU1,
  1. Department of Mathematics, Faculty of Science, University of Yaounde I, Yaounde, Cameroon
  2. Laboratory of Applied Mathematics, Department of Mathematics, Faculty of Science, University of Yaounde I, Yaounde, Cameroon

Revised: 03-06-2021

Accepted: 13-09-2021

Published in Issue 01-12-2021

How to Cite

KOUENKAM, J. P. I., Chendjou, G., MBANG, J., & EMVUDU, Y. (2021). Stability Analysis of a Staged Progression Susceptibility Model for Infectious Diseases. International Journal of Mathematical Modelling & Computations, 11(4), 1-37. https://doi.org/10.30495/ijm2c.2021.685128
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Abstract

The aim of this paper is to provide a stability analysis for models with a general structure and mass action incidence; which include stage progression susceptibility, differential infectivity as well, and the loss of immunity induced by the vaccine also. We establish that the global dynamics are completely determined by the basic reproduction number R0. More specifically, we prove that when R0 is smaller or equal to one, the disease free equilibrium is globally asymptotically stable; while when it is greater than one, there exist a unique endemic equilibrium. We also provide sufficient conditions for the global asymptotic stability of the endemic equilibrium.
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