File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICNC.2008.875
- Scopus: eid_2-s2.0-57649210860
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Multi-agent simulation of epidemic spatio-temporal transmission
| Title | Multi-agent simulation of epidemic spatio-temporal transmission |
|---|---|
| Authors | |
| Issue Date | 2008 |
| Citation | Proceedings - 4th International Conference on Natural Computation, ICNC 2008, 2008, v. 7, p. 357-361 How to Cite? |
| 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. © 2008 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/300159 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Tao | - |
| dc.contributor.author | Li, Xia | - |
| dc.contributor.author | Ai, Bin | - |
| dc.contributor.author | Fu, Jing | - |
| dc.contributor.author | Zhang, Xiao Hu | - |
| dc.date.accessioned | 2021-06-04T05:49:10Z | - |
| dc.date.available | 2021-06-04T05:49:10Z | - |
| dc.date.issued | 2008 | - |
| dc.identifier.citation | Proceedings - 4th International Conference on Natural Computation, ICNC 2008, 2008, v. 7, p. 357-361 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/300159 | - |
| dc.description.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. © 2008 IEEE. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Proceedings - 4th International Conference on Natural Computation, ICNC 2008 | - |
| dc.title | Multi-agent simulation of epidemic spatio-temporal transmission | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/ICNC.2008.875 | - |
| dc.identifier.scopus | eid_2-s2.0-57649210860 | - |
| dc.identifier.volume | 7 | - |
| dc.identifier.spage | 357 | - |
| dc.identifier.epage | 361 | - |