Literature DB >> 31335186

Moving Away from Population-Based Case-Control Studies during Outbreak Investigations.

Rachel H Jervis1, Hillary Booth2, Alicia B Cronquist1, Joshua Rounds3, Nisha B Alden1, Craig W Hedberg4.   

Abstract

Population-based case-control studies are a time- and labor-intensive component of foodborne outbreak investigations. One alternative is a binomial trial that asks the question "if the likelihood of each case's having eaten a given food is no different from that of the average person in the population, how often would we find, by chance alone, that x of n (or more) cases would have eaten this food?" Calculating a binomial trial requires background exposure data. We conducted case-control studies and binomial trials in two foodborne outbreaks and compared results. In both outbreaks, using binomial trials we found much less than a 5% probability that the number of cases eating the suspected food vehicle would have occurred by chance. These results were comparable with results of the case-control studies, but with considerably less effort. When background exposure data are available, binomial trials are an efficient way to explore hypotheses that can be further tested by traceback efforts to identify a common source.

Entities:  

Keywords:  Binomial distribution; Disease outbreaks; Foodborne diseases; Methods

Mesh:

Year:  2019        PMID: 31335186     DOI: 10.4315/0362-028X.JFP-19-077

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  5 in total

1.  The use of an online survey for collecting food exposure information, Foodbook sub-study, February to April 2015.

Authors:  Christine Gardhouse; Matt Hurst; Sujani Sivanantharajah; Nadia Ciampa
Journal:  Can Commun Dis Rep       Date:  2021-01-29

2.  Improving inclusion and exclusion criteria in foodborne illness outbreak investigations: a case study.

Authors:  M J Firestone; P Lee; C W Hedberg
Journal:  Epidemiol Infect       Date:  2020-02-07       Impact factor: 2.451

3.  Population-based food consumption survey as an additional tool for foodborne outbreak investigations, Germany, 2017.

Authors:  B M Rosner; A Meinen; P Schmich; M-L Zeisler; K Stark
Journal:  Epidemiol Infect       Date:  2020-02-28       Impact factor: 2.451

4.  Online population control surveys: A new method for investigating foodborne outbreaks.

Authors:  M Taylor; E Galanis
Journal:  Epidemiol Infect       Date:  2020-04-21       Impact factor: 2.451

5.  Assessment of Rapid Diagnostic Tests for Typhoid Diagnosis and Assessment of Febrile Illness Outbreaks in Fiji.

Authors:  Aneley Getahun Strobel; Stephanie Airs; Cattram Nguyen; Taina Rokobuli Vadei; Silivia Matanitobua; Mike Kama; Conall H Watson; John A Crump; Edward Kim Mulholland; Richard A Strugnell; Christopher M Parry
Journal:  Am J Trop Med Hyg       Date:  2021-11-29       Impact factor: 2.345

  5 in total

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