| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1889144 | Chaos, Solitons & Fractals | 2009 | 7 Pages |
Abstract
Hantaviruses are a group of viruses which have been identified as being responsible for the outbreak of diseases such as the hantavirus pulmonary syndrome. In an effort to understand the characteristics and dynamics of hantavirus infection, mathematical models based on differential equations have been developed and widely studied. However, such models neglect the local characteristics of the spreading process and do not include variable susceptibility of individuals. In this paper, we develop an alternative approach based on cellular automata to analyze and study the spatiotemporal patterns of hantavirus infection.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Mohamad Faisal Abdul Karim, Ahmad Izani Md Ismail, Hoe Bee Ching,