Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance

Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance

Public health surveillance aims at lessening disease burden by, e.g., timely recognizing emerging outbreaks in case of infectious diseases. Seen from a statistical perspective, this implies the use of appropriate methods for monitoring time series of aggregated case reports. This paper presents the...

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Bibliographic Details
Main Authors: Maëlle Salmon, Dirk Schumacher, Michael Höhle
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2016-05-01
Series:Journal of Statistical Software
Subjects:
R
surveillance
outbreak detection
statistical process control
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2700

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