Global health surveillance approaches
Other Publication ResearchOnline@JCUAbstract
Rapid penetration of Internet in the world has provided a significant amount of data on people and societies. The data captured has increased exponentially. This poses great opportunity as well as challenges. In this paper, global health surveillance and epidemic predictions of potentially life threatening diseases are considered. There is a vast amount of available data to be analyzed. The clustering methodology applied to geospatial data shows great potential for epidemic detections. However, the current methodologies mainly focus on clustering given datasets, but not their dynamics on how the size of clusters changes overtime. The existing approaches of health surveillance and data mining algorithms are reviewed. This discourse has two-fold objectives. Firstly, the disadvantages of existing approaches are identified and reported. Secondly the improved methods for detecting epidemics are proposed. A preliminary study of clustering of diseases in the US is used as an illustration.
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Publication Name
Entrepreneurship in Technology for ASEAN
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ISBN/ISSN
978-981-10-2280-7
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Pages Count
13
Location
Kuala Lumpur, Malaysia.
Publisher
Springer
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Publisher Location
Singapore
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EISSN
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DOI
10.1007/978-981-10-2281-4_5