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Statistical methods for the prospective detection of infectious disease outbreaks: a review
Author(s) -
Unkel Steffen,
Farrington C. Paddy,
Garthwaite Paul H.,
Robertson Chris,
Andrews Nick
Publication year - 2012
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/j.1467-985x.2011.00714.x
Subject(s) - outbreak , infectious disease (medical specialty) , disease , statistical analysis , public health , computer science , medicine , data science , intensive care medicine , statistics , virology , pathology , mathematics
Summary. Unusual clusters of disease must be detected rapidly for effective public health interventions to be introduced. Over the past decade there has been a surge in interest in statistical methods for the early detection of infectious disease outbreaks. This growth in interest has given rise to much new methodological work, ranging across the spectrum of statistical methods. The paper presents a comprehensive review of the statistical approaches that have been proposed. Applications to both laboratory and syndromic surveillance data are provided to illustrate the various methods.