Evidence map›Paper›PMID 34983395›Full record

ArticleBMC infectious diseases2022

Source attribution of salmonellosis by time and geography in New South Wales, Australia.

Angus McLure, Craig Shadbolt, Patricia M Desmarchelier, Martyn D Kirk, Kathryn Glass

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Genomic diversity ofFrontiers in microbiology · 2024
    Article
  7. Source attribution of campylobacteriosis in Australia, 2017-2019.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    Article
  8. Animals : an open access journal from MDPI · 2022
    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

5 authors at 2 institutions in 1 country.

Angus McLureNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia. angus.mclure@anu.edu.au.
Craig ShadboltNew South Wales Department of Primary Industries, New South Wales, Australia.
Patricia M DesmarchelierFood Safety Principles, Brisbane, Australia.
Martyn D KirkNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Kathryn GlassNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Australian National University · AUNew South Wales Department of Primary Industries · AU

Funding

Australian Research Council DP180100246National Health and Medical Research Council GNT1145997
6 · The paper itself

Abstract

backgroundSalmonella is a major cause of zoonotic illness around the world, arising from direct or indirect contact with a range of animal reservoirs. In the Australian state of New South Wales (NSW), salmonellosis is believed to be primarily foodborne, but the relative contribution of animal reservoirs is unknown.

methodsThe analysis included 4543 serotyped isolates from animal reservoirs and 30,073 serotyped isolates from domestically acquired human cases in NSW between January 2008 and August 2019. We used a Bayesian source attribution methodology to estimate the proportion of foodborne Salmonella infections attributable to broiler chickens, layer chickens, ruminants, pigs, and an unknown or unsampled source. Additional analyses included covariates for four time periods and five levels of rurality.

resultsA single serotype, S. Typhimurium, accounted for 65-75% of included cases during 2008-2014 but < 50% during 2017-2019. Attribution to layer chickens was highest during 2008-2010 (48.7%, 95% CrI 24.2-70.3%) but halved by 2017-2019 (23.1%, 95% CrI 5.7-38.9%) and was lower in the rural and remote populations than in the majority urban population. The proportion of cases attributed to the unsampled source was 11.3% (95% CrI 1.2%-22.1%) overall, but higher in rural and remote populations. The proportion of cases attributed to pork increased from approximately 20% in 2009-2016 to approximately 40% in 2017-2019, coinciding with a rise in cases due to Salmonella ser. 4,5,12:i:-.

conclusionLayer chickens were likely the primary reservoir of domestically acquired Salmonella infections in NSW circa 2010, but attribution to the source declined contemporaneously with increased vaccination of layer flocks and tighter food safety regulations for the handling of eggs.

Indexed as

ChickensSalmonella InfectionsAnimalsAustraliaBayes TheoremFood MicrobiologyGeographyNew South WalesSwineBayesian analysisDisease reservoirFoodborne diseaseGastroenteritisSalmonella infectionsSource attributionZoonosis

Identifiers

PMID34983395
PMCPMC8725445
OpenAlexW4225283361

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.