Abstract
Hepatitis B is an infectious disease caused by the Hepatitis B virus (HBV) and has caused epidemics in parts of Asia and Africa. During the last two decades, mathematical models have been designed to evaluate the effect of public health programs and provided long-term predictions regarding the disease prevalence and control. These mathematical models are dominantly deterministic because of the large population size. However, then considering elimination and eradication of the HBV, the demographic noise due to the inherent discreteness of individuals may play an important role in determining the dynamics of HBV infection. This work develops a stochastic model to study the influence of small number of infected individuals on the extinction of the disease. Simulation results suggested that, when the infected population size is small, there is disparity between the deterministic model using ordinary differential equations and the corresponding stochastic model. This research work suggested that stochastic modelling could provide a powerful tool to study the eradication of epidemic disease.
| Original language | English |
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| Title of host publication | Proceedings of the 2011 IEEE International Symposium on IT in Medicine and Education |
| Editors | Shaozi Li, Ying Dai |
| Place of Publication | Beijing China |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 496 - 500 |
| Number of pages | 5 |
| Volume | 1 |
| ISBN (Print) | 9781612847023 |
| Publication status | Published - 2011 |
| Event | International Symposium on Information Technology in Medicine and Education 2011 - Guangzhou, China, Beijing China Duration: 1 Jan 2011 → … |
Conference
| Conference | International Symposium on Information Technology in Medicine and Education 2011 |
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| City | Beijing China |
| Period | 1/01/11 → … |
