Abstract
A new model is proposed based on multi-agent system and geographic information system to simulate spatio-temporal transmission process of infectious diseases. The model consists of following four components: attributes definitions, neighborhood, movement rules and state transition rules. Two new parameters, infection dose decay rate and exponential distance, are introduced in transmission process, and the effect of spatio-temporal is explicitly considered. This model is used to simulate transmission process of infectious diseases in Haizhu district of Guangzhou City. It is found that changes of two parameters have prominent influence upon transmission process. The higher population density there were, the more probability of infection happened.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 4th International Conference on Natural Computation, ICNC 2008 |
| Publisher | IEEE Computer Society |
| Pages | 357-361 |
| Number of pages | 5 |
| ISBN (Print) | 9780769533049 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
| Event | 4th International Conference on Natural Computation, ICNC 2008 - Jinan, China Duration: 18 Oct 2008 → 20 Oct 2008 |
Publication series
| Name | Proceedings - 4th International Conference on Natural Computation, ICNC 2008 |
|---|---|
| Volume | 7 |
Conference
| Conference | 4th International Conference on Natural Computation, ICNC 2008 |
|---|---|
| Country/Territory | China |
| City | Jinan |
| Period | 18/10/08 → 20/10/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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