| Using 9-1-1 call data and the space-time permutation scan statistic for emergency event detection |
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dg.o; Vol. 289
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Proceedings of the 2008 international conference on Digital government research
table of contents
Montreal, Canada
SESSION: Research papers and management, case study & policy papers: emergency response and disaster management
table of contents
Pages 92-98
Year of Publication: 2008
ISBN:978-1-60558-099-9
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Authors
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Hector Jasso
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University of California, La Jolla, CA
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Chaitan Baru
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University of California, La Jolla, CA
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Tony Fountain
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University of California, La Jolla, CA
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William Hodgkiss
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University of California, La Jolla, CA
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Don Reich
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Public Safety Network, Santa Barbara, CA
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Kurt Warner
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Public Safety Network, Santa Barbara, CA
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ABSTRACT
The space-time permutation scan statistic has been previously used to detect disease outbreaks, without need for uniform population at risk, control group data, or information about the distribution of population-at-risk in order to establish the statistical significance of found clusters of cases. This paper shows results from using the space-time permutation scan statistic to detect clusters of 9-1-1 emergency calls. These clusters are then correlated with wide-scale emergency events as reported on the news. Using several examples, it is shown that these clusters are useful for estimating the location, temporal extent, and human impact of such emergency events.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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