Surveillance:: An R package for the monitoring of infectious diseases
Surveillance:: An R package for the monitoring of infectious diseases
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DOI：
10.1007/s00180-007-0074-8
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发表时间：
2007-12-01
影响因子：
1.3
通讯作者：
Hoehle, Michael
中科院分区：
文献类型：
--
作者：
Hoehle, Michael
对新出现的传染病进行公共卫生监测是试图控制和预防其传播的一个重要手段。本文介绍了R包“监督”，它包含的功能，可视化常规收集的监测数据，并提供了算法的统计检测畸变在这样的单变量或多变量的时间序列。出于评估目的，该软件包包括真实世界的示例数据和通过模拟生成监控数据的可能性。为了比较算法，可以针对一组时间序列计算灵敏度、特异性和检测延迟等基准数字。包的动机，使用和潜力说明了通过监督理论，案例研究和R代码片段的混合。
Public health surveillance of emerging infectious diseases is an essential instrument in the attempt to control and prevent their spread. This paper presents the R package "surveillance", which contains functionality to visualise routinely collected surveillance data and provides algorithms for the statistical detection of aberrations in such univariate or multivariate time series. For evaluation purposes, the package includes real-world example data and the possibility to generate surveillance data by simulation. To compare algorithms, benchmark numbers like sensitivity, specificity, and detection delay can be computed for a set of time series. Package motivation, use and potential are illustrated through a mixture of surveillance theory, case study and R code snippets.