Biology Reference
In-Depth Information
12
Aberration Detection in R Illustrated
by Danish
Mortality Monitoring
Michael Höhle
Ludwig-Maximilians-Universität München
Munich, Germany
and
Munich Center of Health Sciences
Munich, Germany
Anne Mazick
Statens Serum Institute
Copenhagen, Denmark
CoNTENTS
12.1 Introduction ................................................................................................216
12.1.1 The EuroMOMO Project........................................................... 217
12.2 Overview of the Surveillance Package .................................................. 218
12.2.1 Data Structure and Data Input................................................ 219
12.3 Statistical Framework for Aberration Detection .................................. 222
12.4 The Farrington Algorithm....................................................................... 223
12.5 Negative Binomial CUSUM .................................................................... 227
12.5.1 Run-Length Properties ............................................................. 231
12.6 Conclusions................................................................................................ 233
Acknowledgments ............................................................................................. 235
References............................................................................................................ 235
KEYWoRDS
Disease outbreak, Monitoring, Surveillance, Change point
detection
215
