Recent Research and Developments in Temporal and Spatiotemporal Surveillance for Public Health

The objective of public health surveillance is to systematically collect, analyze, and interpret public health data (about chronic or infectious diseases) to understand trends; detect changes in disease incidence and death rates; and plan, implement, and evaluate public health practices. Recently, s...

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Bibliographic Details
Published in:IEEE transactions on reliability 2011-03, Vol.60 (1), p.49-58
Main Authors: Tsui, Kwok-Leung, Wong, Shui Yee, Jiang, Wei, Lin, Chen-Ju
Format: Article
Language:English
Subjects:
Algorithms
Control charts
Diseases
Forecasting
Gaps
Infectious diseases
Males
Public health
public health surveillance
Public healthcare
Research and development
scan statistics
Spatiotemporal phenomena
Surveillance
Temporal logic
Time series analysis
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Summary:The objective of public health surveillance is to systematically collect, analyze, and interpret public health data (about chronic or infectious diseases) to understand trends; detect changes in disease incidence and death rates; and plan, implement, and evaluate public health practices. Recently, studies have been conducted to develop methods and algorithms for health surveillance and disease detection. This paper attempts to review recent research on temporal and spatiotemporal surveillance methods. We have addressed specific challenges and research gaps in the relevant research. Lastly, we discuss a comparative example using a dataset of male thyroid cancer cases in New Mexico.
ISSN:0018-9529
1558-1721
DOI:10.1109/TR.2010.2104192