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Issue No. 06 - November/December (2009 vol. 24)
ISSN: 1541-1672
pp: 66-82
Hsinchun Chen , University of Arizona
Daniel Zeng , University of Arizona
David L. Buckeridge , McGill University
Masoumeh Izadi , McGill University
Aman Verma , McGill University
Anya Okhmatovskaia , McGill University
Xiaohua Hu , McGill University
Xiajiong Shen , McGill University
Zhidong Cao , Chinese Academy of Sciences
Fei-Yue Wang , Chinese Academy of Sciences
Xiaolong Zheng , Chinese Academy of Sciences
Quanyi Wang , Beijing Center for Disease Control and Prevention
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
Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh Izadi, Aman Verma, Anya Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang, "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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