TY - JOUR
T1 - Statistical methods for the prospective detection of infectious disease outbreaks: a review
AU - Robertson, Chris
AU - Unkel, Steffen
AU - Farrington, C. Paddy
AU - Garthwaite, Paul H.
AU - Andrews, Nick
PY - 2012
Y1 - 2012
N2 - . 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.
AB - . 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.
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U2 - 10.1111/j.1467-985X.2011.00714.x
DO - 10.1111/j.1467-985X.2011.00714.x
M3 - Literature review
SN - 0964-1998
VL - 175
SP - 49
EP - 82
JO - Journal of the Royal Statistical Society. Series A: Statistics in Society
JF - Journal of the Royal Statistical Society. Series A: Statistics in Society
ER -
