SEIR model simulation for Hepatitis B

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Syafruddin Side, Irwan, Usman Mulbar, Wahidah Sanusi

2017 AIP Conference Proceedings Vol. 1885 Conference paper Cited by 6 Quartile

Abstract

Mathematical modelling and simulation for Hepatitis B discuss in this paper. Population devided by four variables, namely: Susceptible, Exposed, Infected and Recovered (SEIR). Several factors affect the population in this model is vaccination, immigration and emigration that occurred in the population. SEIR Model obtained Ordinary Differential Equation (ODE) non-linear System 4-D which then reduces to 3-D. SEIR model simulation undertaken to predict the number of Hepatitis B cases. The results of the simulation indicates the number of Hepatitis B cases will increase and then decrease for several months. The result of simulation using the number of case in Makassar also found the basic reproduction number less than one, that means, Makassar city is not an endemic area of Hepatitis B. © 2017 Author(s).

Affiliations

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Indonesia; Universitas Negeri Makassar, Makassar, 90245, Indonesia