Literature DB >> 16542230

A hypothesis test for the end of a common source outbreak.

Ron Brookmeyer1, Xiaojun You.   

Abstract

The objective of this article is to develop a hypothesis-testing procedure to determine whether a common source outbreak has ended. We consider the case when neither the calendar date of exposure to the pathogen nor the exact incubation period distribution is known. The hypothesis-testing procedure is based on the spacings between ordered calendar dates of disease onset of the cases. A simulation study was performed to evaluate the robustness of the methods to various models for the incubation period of infectious diseases. We investigated the impact of multiple testing on the overall outbreak-wise type I error probability. We derive expressions for the outbreak-wise type I error probability and show that multiple testing has minimal effect on inflating that error probability. The results are discussed in the context of the 2001 U.S. anthrax outbreak.

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Year:  2006        PMID: 16542230     DOI: 10.1111/j.1541-0420.2005.00421.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

Review 1.  Outbreak analytics: a developing data science for informing the response to emerging pathogens.

Authors:  Jonathan A Polonsky; Amrish Baidjoe; Zhian N Kamvar; Anne Cori; Kara Durski; W John Edmunds; Rosalind M Eggo; Sebastian Funk; Laurent Kaiser; Patrick Keating; Olivier le Polain de Waroux; Michael Marks; Paula Moraga; Oliver Morgan; Pierre Nouvellet; Ruwan Ratnayake; Chrissy H Roberts; Jimmy Whitworth; Thibaut Jombart
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Early efforts in modeling the incubation period of infectious diseases with an acute course of illness.

Authors:  Hiroshi Nishiura
Journal:  Emerg Themes Epidemiol       Date:  2007-05-11
  2 in total

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