Successive Approximation, Variational Iteration, and Multistage-Analytical Methods for a SEIR Model of Infectious Disease Involving Vaccination Strategy


  • Sudi Mungkasi Department of Mathematics, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta



infectious disease, multistage method, SEIR model, successive approximations, variational iterations


We consider a SEIR model for the spread (transmission) of an infectious disease. The model has played an important role due to world pandemic disease spread cases. Our contributions in this paper are three folds. Our first contribution is to provide successive approximation and variational iteration methods to obtain analytical approximate solutions to the SEIR model. Our second contribution is to prove that for solving the SEIR model, the variational iteration and successive approximation methods are identical when we have some particular values of Lagrange multipliers in the variational iteration formulation. Third, we propose a new multistage-analytical method for solving the SEIR model. Computational experiments show that the successive approximation and variational iteration methods are accurate for small size of time domain. In contrast, our proposed multistage-analytical method is successful to solve the SEIR model very accurately for large size of time domain. Furthermore, the order of accuracy of the multistage-analytical method can be made higher simply by taking more number of successive iterations in the multistage evolution.

Author Biography

Sudi Mungkasi, Department of Mathematics, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta

Dean of Faculty of Science and Technology;

Associate Professor in Mathematics


Worldometers, COVID-19 Coronavirus Pandemic,, accessed on 7 October 2020 at 01:30 pm GMT.

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