World Congress on Risk 2015
19-23 July, 2015, Singapore
Session Schedule & Abstracts
* Disclaimer: All presentations represent the views of the authors, and not the organizations that support their research. Please apply the standard disclaimer that any opinions, findings, and conclusions or recommendations in abstracts, posters, and presentations at the meeting are those of the authors and do not necessarily reflect the views of any other organization or agency. Meeting attendees and authors should be aware that this disclaimer is intended to apply to all abstracts contained in this document. Authors who wish to emphasize this disclaimer should do so in their presentation or poster. In an effort to make the abstracts as concise as possible and easy for meeting participants to read, the abstracts have been formatted such that they exclude references to papers, affiliations, and/or funding sources. Authors who wish to provide attendees with this information should do so in their presentation or poster.
|Chair(s): Raina MacIntyre|
1 Ebola and Risk to Health Care Workers - An Unfolding Story and Lesson in Risk Analysis. MacIntyre R. (399)|
2 Ebola and Epidemic Diseases in China - Approach to Risk Mitigation and Control. Quanyi W. (400)|
3 Responding to Ebola in West Africa - Approaches to Health Systems Gaps, Screening, Quarantine and Health Worker Shortages. Caldwell S. (401)|
4 Resilience of Networked Systems Under Epidemic Spreading. Kitsak M, Northeastern University; Gallos L.K., Rutgers University; Havlin S, Bar Ilan University; Stanley H, Boston University; Makse H.A., CCNY firstname.lastname@example.org (370)|
Abstract: Spreading is a ubiquitous process, which describes many important activities in society. The knowledge of the spreading pathways through the network of social interactions is crucial for developing efficient methods to either hinder spreading in the case of diseases, or accelerate spreading in the case of information dissemination. Many social networks are scale-free: the distribution of the number of connections per node in these networks follows a power-law. The presence of hubs (nodes with a very large number of connections) in these networks results in the absence of the epidemic threshold. As a result, social networks are prone to the spreading of infections at any epidemic rate. It is widely believed that hubs play crucial role in spreading processes. However, in our recent work we show that, in contrast to common belief, there are plausible circumstances where the best spreaders do not correspond to the most connected or the most central people. Instead, we find that the most efficient spreaders are those located within the core of the network as identified by the k-shell decomposition analysis, and that when multiple spreaders are considered simultaneously, the distance between them becomes the crucial parameter that determines the extent of the spreading. In this talk I will overview the ongoing research on spreading of epidemics in networked systems. I will discuss possible routes for enhancing the resilience of networked systems in the case of epidemic spreading as well as the ideas on optimizing the use of available resources and ensuring the more efficient spread of information.
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