Statistical methods for the prospective detection of infectious disease outbreaks: a review

Steffen Unkel, C. Paddy Farrington, Paul H. Garthwaite, Christopher Robertson, Nick Andrews

Research output: Contribution to journalArticle

162 Citations (Scopus)

Abstract

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
Original languageEnglish
Pages (from-to)49-82
Number of pages34
JournalJournal of the Royal Statistical Society: Series A
Volume175
Issue number1
DOIs
Publication statusPublished - 2012

Keywords

  • biosurveillance
  • clusters
  • surveillance
  • control chart;
  • prospective detection
  • epidemics
  • infectious diseases

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