Urgent epidemic control mechanism for aviation networks

Handle URI:
http://hdl.handle.net/10754/564349
Title:
Urgent epidemic control mechanism for aviation networks
Authors:
Peng, Chengbin ( 0000-0002-7445-2638 ) ; Wang, Shengbin; Shi, Meixia; Jin, Xiaogang
Abstract:
In the current century, the highly developed transportation system can not only boost the economy, but also greatly accelerate the spreading of epidemics. While some epidemic diseases may infect quite a number of people ahead of our awareness, the health care resources such as vaccines and the medical staff are usually locally or even globally insufficient. In this research, with the network of major aviation routes as an example, we present a method to determine the optimal locations to allocate the medical service in order to minimize the impact of the infectious disease with limited resources. Specifically, we demonstrate that when the medical resources are insufficient, we should concentrate our efforts on the travelers with the objective of effectively controlling the spreading rate of the epidemic diseases. © 2011 Springer-Verlag Berlin Heidelberg.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program
Publisher:
Springer Science + Business Media
Journal:
Practical Applications of Intelligent Systems
Conference/Event name:
Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering
Issue Date:
2011
DOI:
10.1007/978-3-642-25658-5_44
Type:
Conference Paper
ISSN:
18675662
ISBN:
9783642256578
Appears in Collections:
Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPeng, Chengbinen
dc.contributor.authorWang, Shengbinen
dc.contributor.authorShi, Meixiaen
dc.contributor.authorJin, Xiaogangen
dc.date.accessioned2015-08-04T06:24:31Zen
dc.date.available2015-08-04T06:24:31Zen
dc.date.issued2011en
dc.identifier.isbn9783642256578en
dc.identifier.issn18675662en
dc.identifier.doi10.1007/978-3-642-25658-5_44en
dc.identifier.urihttp://hdl.handle.net/10754/564349en
dc.description.abstractIn the current century, the highly developed transportation system can not only boost the economy, but also greatly accelerate the spreading of epidemics. While some epidemic diseases may infect quite a number of people ahead of our awareness, the health care resources such as vaccines and the medical staff are usually locally or even globally insufficient. In this research, with the network of major aviation routes as an example, we present a method to determine the optimal locations to allocate the medical service in order to minimize the impact of the infectious disease with limited resources. Specifically, we demonstrate that when the medical resources are insufficient, we should concentrate our efforts on the travelers with the objective of effectively controlling the spreading rate of the epidemic diseases. © 2011 Springer-Verlag Berlin Heidelberg.en
dc.publisherSpringer Science + Business Mediaen
dc.subjectAviation Networksen
dc.subjectEpidemic Controlen
dc.subjectSIS Modelen
dc.titleUrgent epidemic control mechanism for aviation networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.identifier.journalPractical Applications of Intelligent Systemsen
dc.conference.date2011-12-01en
dc.conference.nameProceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineeringen
dc.conference.locationShanghai, Chinaen
dc.contributor.institutionRutgers Business School, Rutgers University, Newark, NJ 07102, United Statesen
dc.contributor.institutionCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310027, Chinaen
dc.contributor.institutionInstitute of Artificial Intelligence, College of Computer Science, Zhejiang University, Hangzhou 310027, Chinaen
kaust.authorPeng, Chengbinen
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