Evidence map›Paper›PMID 37032319›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2023

Source attribution of campylobacteriosis in Australia, 2017-2019.

Angus McLure, James J Smith, Simon Matthew Firestone, Martyn D Kirk, Nigel French, Emily Fearnley, Rhiannon Wallace, Mary Valcanis, Dieter Bulach, Cameron R M Moffatt and 4 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Genomic diversity ofMicrobial genomics · 2024
    Article
  3. Source attribution of campylobacteriosis in Australia, 2017-2019.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    Article
  4. Comparative Analysis ofPathogens (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 3 countries.

Angus McLureNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.ORCID 0000-0003-2890-2703
James J SmithFood Safety Standards and Regulation, Health Protection Branch, Queensland Health, Brisbane, Australia.
Simon Matthew FirestoneMelbourne Veterinary School, Faculty of Science, The University of Melbourne, Melbourne, Australia.
Martyn D KirkNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Nigel FrenchInfectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.
Emily FearnleyDepartment for Health and Wellbeing, Government of South Australia, Adelaide, Australia.
Rhiannon WallaceAgassiz Research and Development Centre, Agriculture and Agri-Food Canada, Agassiz, Canada.
Mary ValcanisThe Doherty Institute for Infection and Immunity, Melbourne, Australia.
Dieter BulachThe Doherty Institute for Infection and Immunity, Melbourne, Australia.
Cameron R M MoffattNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Linda A SelveySchool of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Amy JennisonPublic Health Microbiology, Forensic and Scientific Services, Queensland Health, Brisbane, Australia.
Danielle M CribbNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Kathryn GlassNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.ORCID 0000-0001-5905-1310
Australian National University · AUThe University of Melbourne · AUQueensland Health · AUAgriculture and Agri-Food Canada · CAGovernment of South Australia · AUMassey University · NZQueensland University of Technology · AU

Funding

ACT HealthAgrifutures AustraliaAustralian Government Research Training ProgramAustralian Research Council DP180100246Department of Health, Australian GovernmentFood Standards Australia New ZealandNational Health and Medical Research Council GNT1116294National Health and Medical Research Council GNT1145997New South Wales Food AuthorityQueensland Health
6 · The paper itself

Abstract

Campylobacter 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.

Indexed as

CampylobacterCampylobacter InfectionsCampylobacter jejuniGastroenteritisAnimalsAustraliaBayes TheoremChickensHumansMultilocus Sequence TypingRuminantsSwineBayesian analysisCampylobactersource attribution

Identifiers

PMID37032319
PMCPMC10947381
OpenAlexW4362736406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.