Detection of Outbreak Signals Using R | Zendy

Steve E. Rigdon | Zendy; George Turabelidze | Zendy; Richard W DeClue | Zendy; Sarah Patrick | Zendy; Ehsan Jahanpour | Zendy; Rong He | Zendy; Jennifer Lloyd | Zendy

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Detection of Outbreak Signals Using R

Author(s) -

Steve E. Rigdon,

George Turabelidze,

Richard W DeClue,

Sarah Patrick,

Ehsan Jahanpour,

Rong He,

Jennifer Lloyd

Publication year - 2014

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v6i1.5070

Subject(s) - outbreak , r package , computer science , statistics , graphics , trigonometry , statistical analysis , data mining , algorithm , medicine , computer graphics (images) , mathematics , pathology , geometry

Regression analysis is used to fit a periodic model to weekly disease counts for reportable diseases in Missouri. These trigonometric models are then used to obtain upper control limits for the number of cases that would lead to an outbreak signal. The methods, including graphics, are implemented in the open source statistical package R.

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