Source attribution of campylobacteriosis in Australia, 2017-2019.

Simple item page
dc.citation.issue12
dc.citation.volume43
dc.contributor.authorMcLure A
dc.contributor.authorSmith JJ
dc.contributor.authorFirestone SM
dc.contributor.authorKirk MD
dc.contributor.authorFrench N
dc.contributor.authorFearnley E
dc.contributor.authorWallace R
dc.contributor.authorValcanis M
dc.contributor.authorBulach D
dc.contributor.authorMoffatt CRM
dc.contributor.authorSelvey LA
dc.contributor.authorJennison A
dc.contributor.authorCribb DM
dc.contributor.authorGlass K
dc.coverage.spatialUnited States
dc.date.accessioned2024-08-15T23:12:31Z
dc.date.available2024-08-15T23:12:31Z
dc.date.issued2023-12-01
dc.description.abstractCampylobacter jejuni and Campylobacter coli infections are the leading cause of foodborne gastroenteritis in high-income countries. Campylobacter colonizes a variety of warm-blooded hosts that are reservoirs for human campylobacteriosis. The proportions of Australian cases attributable to different animal reservoirs are unknown but can be estimated by comparing the frequency of different sequence types in cases and reservoirs. Campylobacter isolates were obtained from notified human cases and raw meat and offal from the major livestock in Australia between 2017 and 2019. Isolates were typed using multi-locus sequence genotyping. We used Bayesian source attribution models including the asymmetric island model, the modified Hald model, and their generalizations. Some models included an "unsampled" source to estimate the proportion of cases attributable to wild, feral, or domestic animal reservoirs not sampled in our study. Model fits were compared using the Watanabe-Akaike information criterion. We included 612 food and 710 human case isolates. The best fitting models attributed >80% of Campylobacter cases to chickens, with a greater proportion of C. coli (>84%) than C. jejuni (>77%). The best fitting model that included an unsampled source attributed 14% (95% credible interval [CrI]: 0.3%-32%) to the unsampled source and only 2% to ruminants (95% CrI: 0.3%-12%) and 2% to pigs (95% CrI: 0.2%-11%) The best fitting model that did not include an unsampled source attributed 12% to ruminants (95% CrI: 1.3%-33%) and 6% to pigs (95% CrI: 1.1%-19%). Chickens were the leading source of human Campylobacter infections in Australia in 2017-2019 and should remain the focus of interventions to reduce burden.
dc.description.confidentialfalse
dc.edition.editionDecember 2023
dc.format.pagination2527-2548
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/37032319
dc.identifier.citationMcLure A, Smith JJ, Firestone SM, Kirk MD, French N, Fearnley E, Wallace R, Valcanis M, Bulach D, Moffatt CRM, Selvey LA, Jennison A, Cribb DM, Glass K. (2023). Source attribution of campylobacteriosis in Australia, 2017-2019.. Risk Anal. 43. 12. (pp. 2527-2548).
dc.identifier.doi10.1111/risa.14138
dc.identifier.eissn1539-6924
dc.identifier.elements-typejournal-article
dc.identifier.issn0272-4332
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71325
dc.languageeng
dc.publisherJohn Wiley and Sons, Inc.
dc.publisher.urihttps://onlinelibrary.wiley.com/doi/10.1111/risa.14138
dc.relation.isPartOfRisk Anal
dc.rights(c) 2023 The Author/s
dc.rightsCC BY-NC 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBayesian analysis
dc.subjectCampylobacter
dc.subjectsource attribution
dc.subjectAnimals
dc.subjectHumans
dc.subjectSwine
dc.subjectCampylobacter Infections
dc.subjectBayes Theorem
dc.subjectChickens
dc.subjectAustralia
dc.subjectMultilocus Sequence Typing
dc.subjectCampylobacter
dc.subjectCampylobacter jejuni
dc.subjectRuminants
dc.subjectGastroenteritis
dc.titleSource attribution of campylobacteriosis in Australia, 2017-2019.
dc.typeJournal article
pubs.elements-id460929
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Published version.pdf
Size:
1.73 MB
Format:
Adobe Portable Document Format
Description:
460929 PDF.pdf
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Download
Collections
Journal Articles