Methods for generating hypotheses in human enteric illness outbreak investigations: a scoping review of the evidence.


Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
27 09 2019
Historique:
entrez: 28 9 2019
pubmed: 29 9 2019
medline: 25 3 2020
Statut: epublish

Résumé

Enteric illness outbreaks are complex events, therefore, outbreak investigators use many different hypothesis generation methods depending on the situation. This scoping review was conducted to describe methods used to generate a hypothesis during enteric illness outbreak investigations. The search included five databases and grey literature for articles published between 1 January 2000 and 2 May 2015. Relevance screening and article characterisation were conducted by two independent reviewers using pretested forms. There were 903 outbreaks that described hypothesis generation methods and 33 papers which focused on the evaluation of hypothesis generation methods. Common hypothesis generation methods described are analytic studies (64.8%), descriptive epidemiology (33.7%), food or environmental sampling (32.8%) and facility inspections (27.9%). The least common methods included the use of a single interviewer (0.4%) and investigation of outliers (0.4%). Most studies reported using two or more methods to generate hypotheses (81.2%), with 29.2% of studies reporting using four or more. The use of multiple different hypothesis generation methods both within and between outbreaks highlights the complexity of enteric illness outbreak investigations. Future research should examine the effectiveness of each method and the contexts for which each is most effective in efficiently leading to source identification.

Identifiants

pubmed: 31558173
doi: 10.1017/S0950268819001699
pii: S0950268819001699
pmc: PMC6805753
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e280

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Auteurs

C Ickert (C)

School of Public Health, University of Alberta, Edmonton, Canada.

J Cheng (J)

Outbreak Management Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Canada.

D Reimer (D)

Public Health Risk Sciences Division, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Canada.

J Greig (J)

Public Health Risk Sciences Division, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Canada.

A Hexemer (A)

Outbreak Management Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Canada.

T Kershaw (T)

Outbreak Management Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Canada.

L Waddell (L)

Public Health Risk Sciences Division, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Canada.

M Mascarenhas (M)

Public Health Risk Sciences Division, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Canada.

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Classifications MeSH