Backward bifurcation analysis of epidemic model with partial immunity

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Authors

Anguelov, Roumen
Garba, Salisu M.
Usaini, Salisu

Journal Title

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Publisher

Elsevier

Abstract

This paper presents a two stage SIS epidemic model in animal population with bovine tuberculosis (BTB) in African buffalo as a guiding example. The proposed model is rigorously analyzed. The analysis reveals that the model exhibits the phenomenon of backward bifurcation, where a stable disease-free equilibrium (DFE) coexists with a stable endemic equilibrium (EE) when the associated reproduction number (Rv) is less than unity. It is shown under two special cases of the presented model, that this phenomenon of backward bifurcation does not arise depending on vaccination coverage and efficacy of vaccine. Numerical simulations of the model show that, the use of an imperfect vaccine can lead to effective control of the disease if the vaccination coverage and the efficacy of vaccine are high enough.

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Keywords

Backward bifurcation, Vaccine, Bovine tuberculosis (bTB), African buffalo (Syncerus caffer)

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Citation

Anguelov, R, Garba, SM & Usaini, S 2014, 'Backward bifurcation analysis of epidemic model with partial immunity', Computers and Mathematics with Applications, vol. 68, no. 9, pp. 931-940.