AO Binuyo, SA Odejide and YAS Aregbesola
In this work, the numerical study of a deterministic mathematical model of an SEIVR (Susceptible-Exposed- Infected-Vaccinated-Recovered) epidemic model among infants was carried out. This model incorporates a temporary immune recovery class which involves subsequent dose vaccination for the infants. Hypothetical values were chosen for the parameters to test the validity of the mathematical model. The parameter with the greatest impact on the model was computed using the eigenvalue elasticity and sensitivity analyses and it was found that the parameter of the rate at which the vaccine wanes in the infants (ω) has the greatest impact on the mathematical model.
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Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report
