Evidence map›Paper›PMID 31441747›Full record

ArticleEmerging infectious diseases2019

Whole-Genome Sequencing of Salmonella Mississippi and Typhimurium Definitive Type 160, Australia and New Zealand.

Laura Ford, Danielle Ingle, Kathryn Glass, Mark Veitch, Deborah A Williamson, Michelle Harlock, Joy Gregory, Russell Stafford, Nigel French, Samuel Bloomfield and 3 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2019. 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
–field-weighted citation impact
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.

  1. Host adaptation inApplied and environmental microbiology · 2026
    Review
  2. Phylogeographic clustering ofApplied and environmental microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Rural Raccoons (Frontiers in veterinary science · 2022
    Article
  8. 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

13 authors.

Laura Ford
Danielle Ingle
Kathryn Glass
Mark Veitch
Deborah A Williamson
Michelle Harlock
Joy Gregory
Russell Stafford
Nigel French
Samuel Bloomfield
Zoe Grange
Mary Lou Conway
Martyn D Kirk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used phylogenomic and risk factor data on isolates of Salmonella enterica serovars Mississippi and Typhimurium definitive type 160 (DT160) collected from human, animal, and environmental sources to elucidate their epidemiology and disease reservoirs in Australia and New Zealand. Sequence data suggested wild birds as a likely reservoir for DT160; animal and environmental sources varied more for Salmonella Mississippi than for Salmonella Typhimurium. Australia and New Zealand isolates sat in distinct clades for both serovars; the median single-nucleotide polymorphism distance for DT160 was 29 (range 8-66) and for Salmonella Mississippi, 619 (range 565-737). Phylogenomic data identified plausible sources of human infection from wildlife and environmental reservoirs and provided evidence supporting New Zealand-acquired DT160 in a group of travelers returning to Australia. Wider use of real-time whole-genome sequencing in new locations and for other serovars may identify sources and routes of transmission, thereby aiding prevention and control.

Indexed as

AnimalsAnimals, WildAustraliaDisease ReservoirsHumansNew ZealandSalmonella entericaSalmonella InfectionsSalmonella typhimuriumTravelWhole Genome SequencingZoonosesanimalsAustraliabacteriabirdsdrinking waterepidemiologyfood safetygenomicshumansNew ZealandSalmonellaTasmaniawhole-genome sequencingzoonoses

Identifiers

PMID31441747
PMCPMC6711244

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.