File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A multi-agent based approach for simulating epidemic transmission

TitleA multi-agent based approach for simulating epidemic transmission
Authors
KeywordsSpatio-temporal
Epidemic
Multi-agent system
Simulation
Issue Date2008
Citation
Proceedings of SPIE - The International Society for Optical Engineering, 2008, v. 7143, article no. 71431V How to Cite?
AbstractA new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered. © 2008 SPIE.
Persistent Identifierhttp://hdl.handle.net/10722/300160
ISSN
2020 SCImago Journal Rankings: 0.192

 

DC FieldValueLanguage
dc.contributor.authorLiu, Tao-
dc.contributor.authorLi, Xia-
dc.contributor.authorFu, Jing-
dc.contributor.authorAi, Bin-
dc.contributor.authorZhang, Xiao Hu-
dc.date.accessioned2021-06-04T05:49:10Z-
dc.date.available2021-06-04T05:49:10Z-
dc.date.issued2008-
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, 2008, v. 7143, article no. 71431V-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/300160-
dc.description.abstractA new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered. © 2008 SPIE.-
dc.languageeng-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering-
dc.subjectSpatio-temporal-
dc.subjectEpidemic-
dc.subjectMulti-agent system-
dc.subjectSimulation-
dc.titleA multi-agent based approach for simulating epidemic transmission-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.812596-
dc.identifier.scopuseid_2-s2.0-62449187935-
dc.identifier.volume7143-
dc.identifier.spagearticle no. 71431V-
dc.identifier.epagearticle no. 71431V-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats