Network-Based Analysis of Beijing SARS Data
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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.
KeywordsSARS Complex network analysis Weighted networks
- Wang, J.F., Christakos, G., Han, W., Meng, B.: Data-driven exploration of ’spatial pattern-time process-driving forces’ associations of SARS epidemic in Beijing, China. Journal of Public Health, 1–11 (2008)Google Scholar
- Haydon, D.T., Chase-Topping, M., Shaw, D.J., Matthews, L., Friar, J.K., Wilesmith, J., Woolhouse, M.E.J.: The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak. Proceedings of Royal Society London B 270 (2003)Google Scholar
- Chen, Y., Tseng, C., King, C., Wu, T.J., Chen, H.: Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data. In: Zeng, D., Gotham, I., Komatsu, K., Lynch, C., Thurmond, M., Madigan, D., Lober, B., Kvach, J., Chen, H. (eds.) BioSurveillance 2007. LNCS, vol. 4506, pp. 23–36. Springer, Heidelberg (2007)CrossRefGoogle Scholar
- Hao, M., Irwin, K., Michael, R.L.: Effective missing data prediction for collaborative filtering. In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, Amsterdam (2007)Google Scholar