Outbreak Detection Of Spatio-Temporally Smoothed Crashes
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چکیده
منابع مشابه
Title: Early outbreak detection of vehicle crashes using recursive partitioning
Data on vehicle crashes of any significance are reported in police reports. Integrating this information into a real-time surveillance system that makes full use of all dimensions of the data is a challenge. At the simplest level monitoring daily counts is used to identify unusual high counts. However it is known that crashes occur in clusters, often determined by spatial location, age group, g...
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A system that monitors a region for a disease outbreak is called a disease outbreak surveillance system. A spatial surveillance system searches for patterns of disease outbreak in spatial subregions of the monitored region. A temporal surveillance system looks for emerging patterns of outbreak disease by analyzing how patterns have changed during recent periods of time. If a non-spatial, non-te...
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Bayes and empirical Bayes methods have proven eeective in smoothing crude maps of disease risk, eliminating the instability of estimates in low-population areas while maintaining overall geographic trends and patterns. Recent w ork applies these methods to the analysis of areal data which are spatially misaligned, i.e., involving variables (typically counts or rates) which are aggregated over d...
متن کاملHierarchical Modeling of Spatio - temporally Misaligned
Bayes and empirical Bayes methods have proven eeective in smoothing crude maps of disease risk, eliminating the instability of estimates in low-population areas while maintaining overall geographic trends and patterns. Recent work applies these methods to the analysis of areal data which are spatially misaligned, i.e., involving variables (typically counts or rates) which are aggregated over di...
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ژورنال
عنوان ژورنال: Open Journal of Safety Science and Technology
سال: 2012
ISSN: 2162-5999,2162-6006
DOI: 10.4236/ojsst.2012.23013