Network-Based Analysis of Beijing SARS Data

Authors:
Xiaolong Zheng;Daniel Zeng;Aaron Sun;Yuan Luo;Quanyi Wang;Feiyue Wang
Affiliations:
The Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China;The Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China and Department of Management Information Systems, The University of Arizona, US ...;Department of Management Information Systems, The University of Arizona, USA;The Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China;Beijing Center for Disease Control and Prevention, China;The Key Lab of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China
Venue:
BioSecure '08 Proceedings of the 2008 International Workshop on Biosurveillance and Biosecurity
Year:
2008

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Abstract

In this paper, we analyze Beijing SARS data using methods developed from the complex network analysis literature. Three kinds of SARS-related networks were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general randomized immunization control strategy may not be effective. Instead, a strategy that focuses on nodes (e.g., patients, locations, or occupations) with high degree and strength may lead to more effective outbreak control and management.