Ergodic Stationary Distribution of a Stochastic Hepatitis B Epidemic Model with Interval-Valued Parameters and Compensated Poisson Process

• Published in: Computational and mathematical methods in medicine Vol. 2020; no. 2020; pp. 1 - 12
• Main Authors: Kiouach, Driss, Sabbar, Yassine
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi
• Subjects: Algorithms; Computational Biology; Computer Simulation; Epidemics - statistics & numerical data; Hepatitis B - epidemiology; Hepatitis B - transmission; Humans; Mathematical Concepts; Models, Biological; Models, Statistical; Poisson Distribution; Probability; Stochastic Processes; Systems Biology
• ISSN: 1748-670X; 1748-6718; 1748-6718
• DOI: 10.1155/2020/9676501

Hepatitis B epidemic was and is still a rich subject that sparks the interest of epidemiological researchers. The dynamics of this epidemic is often modeled by a system with constant parameters. In reality, the parameters associated with the Hepatitis B model are not certain, but the interval in which it belongs to can readily be determined. Our paper focuses on an imprecise Hepatitis B model perturbed by Lévy noise due to unexpected environmental disturbances. This model has a global positive solution. Under an appropriate assumption, we prove the existence of a unique ergodic stationary distribution by using the mutually exclusive possibilities lemma demonstrated by Stettner in 1986. Our main effort is to establish an almost perfect condition for the existence of the stationary distribution. Numerical simulations are introduced to illustrate the analytical results.