Evidence map›Paper›PMID 38358326›Full record

ArticleMicrobial genomics2024

HAIviz: an interactive dashboard for visualising and integrating healthcare-associated genomic epidemiological data.

Budi Permana, Patrick N A Harris, Leah W Roberts, Thom Cuddihy, David L Paterson, Scott A Beatson, Brian M Forde

Abstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. CharacterizingmSystems · 2025
    Article
  4. Article
  5. Article
  6. TGV: suite of tools to visualize transmission graphs.NAR genomics and bioinformatics · 2024
    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

7 authors.

Budi PermanaSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia.
Patrick N A HarrisUniversity of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Leah W RobertsSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia.
Thom CuddihyUniversity of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
David L PatersonUniversity of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Scott A BeatsonSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia.
Brian M FordeUniversity of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing tools for phylogeographic and epidemiological visualisation primarily provide a macro-geographic view of epidemic and pandemic transmission events but offer little support for detailed investigation of outbreaks in healthcare settings. Here, we present HAIviz, an interactive web-based application designed for integrating and visualising genomic epidemiological information to improve the tracking of healthcare-associated infections (HAIs). HAIviz displays and links the outbreak timeline, building map, phylogenetic tree, patient bed movements, and transmission network on a single interactive dashboard. HAIviz has been developed for bacterial outbreak investigations but can be utilised for general epidemiological investigations focused on built environments for which visualisation to customised maps is required. This paper describes and demonstrates the application of HAIviz for HAI outbreak investigations.

Indexed as

Cross InfectionGenomicsDisease OutbreaksHumansPandemicsPhylogenygenomic epidemiologyhealthcare-associated infectionspathogen genomic surveillancevisualisation tool

Identifiers

PMID38358326
PMCPMC10926687

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.