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Issue No. 06 - November/December (2009 vol. 24)
ISSN: 1541-1672
pp: 66-82
Xiaohua Hu , McGill University
Xiaolong Zheng , Chinese Academy of Sciences
Quanyi Wang , Beijing Center for Disease Control and Prevention
Zhidong Cao , Chinese Academy of Sciences
Anya Okhmatovskaia , McGill University
Hsinchun Chen , University of Arizona
David L. Buckeridge , McGill University
Aman Verma , McGill University
Daniel Zeng , University of Arizona
Xiajiong Shen , McGill University
Fei-Yue Wang , Chinese Academy of Sciences
Masoumeh Izadi , McGill University
ABSTRACT
<p>In this time of increasing concern over the deadly and costly threats of infectious diseases, preparation for, early detection of, and timely response to emerging infectious diseases and epidemic outbreaks are key public-health priorities and are driving an emerging field of multidisciplinary research. The four essays in this installment of Trends &#x0026; Controversies discuss uses of AI in global disease surveillance.</p>
INDEX TERMS
Trends &#x0026; Controversies, disease surveillance, syndromic surveillance, bioterrorism, spatial-contact networks, global data sharing, healthcare, epidemic monitoring and control, literature mining
CITATION
Xiaohua Hu, Xiaolong Zheng, Quanyi Wang, Zhidong Cao, Anya Okhmatovskaia, Hsinchun Chen, David L. Buckeridge, Aman Verma, Daniel Zeng, Xiajiong Shen, Fei-Yue Wang, Masoumeh Izadi, "AI for Global Disease Surveillance", IEEE Intelligent Systems, vol. 24, no. , pp. 66-82, November/December 2009, doi:10.1109/MIS.2009.126
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