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Activity Number:
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318
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statisticians in Defense and National Security
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| Abstract - #307981 |
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Title:
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Epidemiological Network Models for Disease Outbreak Detection
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Author(s):
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Ben Y. Reis*+
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Companies:
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Harvard Medical School
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Address:
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1 Autumn St, Room 540.1, Boston, MA, 02115,
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Keywords:
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networks ; surveillance ; detection ; pandemics ; public events
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Abstract:
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We describe a class of epidemiological network models that rely on monitoring the relationships among different healthcare data streams, instead of monitoring the data streams themselves. The relational nature of these models has the potential to increase their robustness to unpredictable baseline shifts. Simulation results show that the network models provide better detection of localized disease outbreaks, and greater robustness to healthcare utilization shifts than a standard modeling approach. This integrated network model of epidemiological data streams and their inter-relationships has the potential to improve current public health surveillance efforts, providing more reliable localized outbreak detection and situational awareness in the face of shifts in healthcare utilization during epidemics and major public events.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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