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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 archive
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
Authors
Hector Jasso  University of California, La Jolla, CA
Chaitan Baru  University of California, La Jolla, CA
Tony Fountain  University of California, La Jolla, CA
William Hodgkiss  University of California, La Jolla, CA
Don Reich  Public Safety Network, Santa Barbara, CA
Kurt Warner  Public Safety Network, Santa Barbara, CA
Sponsors
: Routledge
: Elsevier
: Springer
: Cefrio
NCDG : National Center for Digital Government
Publisher
Bibliometrics
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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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Collaborative Colleagues:
Hector Jasso: colleagues
Chaitan Baru: colleagues
Tony Fountain: colleagues
William Hodgkiss: colleagues
Don Reich: colleagues
Kurt Warner: colleagues