UID:
almafu_9959329168802883
Format:
1 online resource (xiv, 269 pages) :
,
illustrations
ISBN:
0470092483
,
9780470092484
,
0470092505
,
9780470092507
,
9780470092491
,
0470092491
Content:
Following the events of 9/11 and in the current world climate, there is increasing concern of the impact of potential bioterrorism attacks. Spatial surveillance systems are used to detect changes in public health data, and alert us to possible outbreaks of disease, either from natural resources or from bioterrorism attacks.
Note:
Introduction : spatial and syndromic surveillance for public health / Andrew B. Lawson and Ken Kleinman -- Overview of temporal surveillance / Yann Le Strat -- Optimal surveillance / Marianne Frisén and Christian Sonesson -- Spatial and spatio-temporal disease analysis / Andrew B. Lawson -- Generalized linear models and generalized linear mixed models for small-area surveillance / Ken Kleinman -- Spatial surveillance and cumulative sum methods / Peter A. Rogerson -- Scan statistics for geographical disease surveillance : an overview / Martin Kulldorff -- Distance-based methods for spatial and spatio-temporal surveillance / Laura Forsberg [and others] -- Multivariate surveillance / Christian Sonesson and Marianne Frisén -- Bayesian network approaches to detection / Weng-Keen Wong and Andrew W. Moore -- Efficient scan statistic computations / Daniel B. Neill and Andrew W. Moore -- Bayesian data mining for health surveillance / David Madigan -- Advanced modeling for surveillance : clustering of relative risk changes / Andrew B. Lawson.
Additional Edition:
Print version: Spatial and syndromic surveillance for public health. Chichester, West Sussex, England ; Hoboken, NJ : J. Wiley & Sons, ©2005
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092505
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092505
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0470092505
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