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1 | Introduction : spatial and syndromic surveillance for public health | 1 |
Pt. I | Introduction to temporal surveillance | 11 |
2 | Overview of temporal surveillance | 13 |
3 | Optimal surveillance | 31 |
Pt. II | Basic methods for spatial and syndromic surveillance | 53 |
4 | Spatial and spatio-temporal disease analysis | 55 |
5 | Generalized linear models and generalized linear mixed models for small-area surveillance | 77 |
6 | Spatial surveillance and cumulative sum methods | 95 |
7 | Scan statistics for geographical disease surveillance : an overview | 115 |
8 | Distance-based methods for spatial and spatio-temporal surveillance | 133 |
9 | Multivariate surveillance | 153 |
Pt. III | Database mining and Bayesian methods | 167 |
10 | Bayesian network approaches to detection | 169 |
11 | Efficient scan statistic computations | 189 |
12 | Bayesian data mining for health surveillance | 203 |
13 | Advanced modeling for surveillance : clustering of relative risk changes | 223 |
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Add Spatial and Syndromic Surveill, 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 o, Spatial and Syndromic Surveill to the inventory that you are selling on WonderClubX
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Add Spatial and Syndromic Surveill, 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 o, Spatial and Syndromic Surveill to your collection on WonderClub |