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Activity Number:
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21
- Bayesian Disease Mapping and Spatial Epidemiology: New Directions and New Frontiers
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Type:
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Topic-Contributed
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Date/Time:
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Sunday, August 8, 2021 : 1:30 PM to 3:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #317125
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Title:
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Novel Bayesian Metrics for Small Area Health Surveillance
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Author(s):
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Joanne Kim* and Andrew Booth Lawson
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Companies:
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Medical University of South Carolina and Medical University of South Carolina
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Keywords:
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Bayesian;
metrics;
health-surveillance;
small area;
spatial;
spatio-temporal
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Abstract:
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COVID-19 raises the awareness of public health community for the improved monitoring and prediction of infectious disease outbreaks. Small area health surveillance is focused on tools that can alert public Health community for unusual excesses of risk events. This talk discusses Bayesian models to describe infectious disease progression within epidemics and some novel metrics will be reported which exploit the temporal and spatial neighborhood effects in epidemics. Application of these to the dynamics of COVID-19 incidence at county level in several US states will be presented.
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Authors who are presenting talks have a * after their name.
