Literature DB >> 30092849

Case-case analysis of Campylobacter and Salmonella - using surveillance data for outbreak investigations and monitoring routine risk factors.

K Pogreba-Brown1, P O'Connor1, J Matthews2, E Barrett1, M L Bell1.   

Abstract

Utilising routine surveillance data, this study presents a method for generating a baseline comparison that can be used in future foodborne outbreak investigations following a case-case methodology. Salmonella and Campylobacter cases (2012-2015) from Maricopa County, AZ were compared to determine differences in risk factors, symptoms and demographics. For foods and other risk factors, adjusted odds ratios were developed using Campylobacter as the reference. Comparisons were also made for three major Salmonella subtypes, Typhimurium, Enteritidis and Poona as compared with Campylobacter. Salmonella cases were younger, while Campylobacter cases were more Hispanic and female. Campylobacter cases reported consuming peppers, sprouts, poultry, queso fresco, eggs and raw nuts more and reported contact with animal products, birds, visiting a farm or dairy, owning a pet, a sick pet, swimming in a river, lake or pond, or handling multiple raw meats more. Salmonella cases reported visiting a petting zoo and contact with a reptile more. There were significant variations by Salmonella subtype in both foods and exposures. We recommend departments conduct this analysis to generate a baseline comparison and a running average of relevant odds ratios allowing staff to focus on trace-back of contaminated food items earlier in the outbreak investigation process.

Entities:  

Keywords:  Campylobacter; Salmonella; case–case; outbreaks; surveillance

Mesh:

Year:  2018        PMID: 30092849      PMCID: PMC6452982          DOI: 10.1017/S0950268818002200

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  9 in total

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Journal:  Epidemiol Infect       Date:  2012-01-03       Impact factor: 2.451

Review 4.  Source attribution of human salmonellosis using a meta-analysis of case-control studies of sporadic infections.

Authors:  A R Domingues; S M Pires; T Halasa; T Hald
Journal:  Epidemiol Infect       Date:  2011-12-08       Impact factor: 2.451

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Authors:  K R Neal; R C Slack
Journal:  Epidemiol Infect       Date:  1997-12       Impact factor: 2.451

6.  Escherichia coli O157:H7 outbreak linked to raw milk cheese in Quebec, Canada: use of exact probability calculation and casecase study approaches to foodborne outbreak investigation.

Authors:  Colette Gaulin; Eric Levac; Danielle Ramsay; Réjean Dion; Johanne Ismaïl; Suzanne Gingras; Christine Lacroix
Journal:  J Food Prot       Date:  2012-05       Impact factor: 2.077

7.  Foodborne illness acquired in the United States--major pathogens.

Authors:  Elaine Scallan; Robert M Hoekstra; Frederick J Angulo; Robert V Tauxe; Marc-Alain Widdowson; Sharon L Roy; Jeffery L Jones; Patricia M Griffin
Journal:  Emerg Infect Dis       Date:  2011-01       Impact factor: 6.883

8.  A case-case comparison of Campylobacter coli and Campylobacter jejuni infection: a tool for generating hypotheses.

Authors:  Iain A Gillespie; Sarah J O'Brien; Jennifer A Frost; Goutam K Adak; Peter Horby; Anthony V Swan; Michael J Painter; Keith R Neal
Journal:  Emerg Infect Dis       Date:  2002-09       Impact factor: 6.883

9.  Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results.

Authors:  Nick Wilson; Michael Baker; Richard Edwards; Greg Simmons
Journal:  Epidemiol Perspect Innov       Date:  2008-10-31
  9 in total
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Journal:  Euro Surveill       Date:  2022-06

2.  Case-case analyses of cryptosporidiosis and giardiasis using routine national surveillance data in the United States - 2005-2015.

Authors:  K M Benedict; S A Collier; E P Marder; M C Hlavsa; K E Fullerton; J S Yoder
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

Review 3.  Association of Common Zoonotic Pathogens With Concentrated Animal Feeding Operations.

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Journal:  Front Microbiol       Date:  2022-01-10       Impact factor: 5.640

  3 in total

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