Probabilistic daily ILI syndromic surveillance with a spatio-temporal Bayesian hierarchical model.
BACKGROUND: For daily syndromic surveillance to be effective, an efficient and sensible algorithm would be expected to detect aberrations in influenza illness, and alert public health workers prior to any impending epidemic. This detection or alert surely contains uncertainty, and thus should be eva...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2010-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2905374?pdf=render |