Complex network approach to epidemic spreading in rural regions
From epicenter_wiki
Distributing surveys in Clay Center during a beautiful Spring morning
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People
PI: Caterina Scoglio (ECE); co-PIs: Todd Easton (IMSE), Robert Kooij (ECE), Walter Schumm (HumEc); students: Mina Youssef (ECE), Ali Sydney (ECE), Phillip Schumm (ECE), Kyle Carlyle (IMSE), Joseph Anderson (IMSE).
Abstract
The overarching goal of this research is to develop optimized guidelines that administrators can use to establish procedures and realign resources to help mitigate the effects of the spread of infectious diseases in rural regions such as Western Kansas, caused by natural causes or malicious attacks. This project studies the peculiar contact network of rural regions, and develops a simulation tool with multiple compartments running on the contact network.
Presentations & Publications
- J. Anderson "Simulating Epidemics in Rural Areas and Optimizing Preplanned Quarantine Areas using a Clustering Heuristic" Master of Science Thesis, Kansas State University 2009.
- K. Carlyle "Optimizing Quarantine Regions through Graph Theory and Simulation" Master of Science Thesis, Kansas State University 2009.
- T. Easton, K. Carlyle, C. Scoglio "Optimizing Quarantine Regions Through Ellipsoidal Geographic Networks" Submitted for publication 2009.
- A. Sydney, C. Scoglio, M. Youssef, P. Schumm "Characterizing the Robustness of Complex Networks" Submitted for publication 2009.
- R. Kooij, P. Schumm, C. Scoglio "A new measure for robustness with respect to virus spread" in Proceedings of IFIP Networking 2009, Aachen, Germany, 2009.
Press
Acknowledgment and Disclaimer
This material is based upon work supported by the National Science Foundation under Grant No. 0841112. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
