Evidence map›Paper›PMID 33835320›Full record

ArticleEcoHealth2021

Streamlining Disease Risk Analysis for Wildlife Using the Shark Bay Bandicoot as a Model.

Rebecca J Vaughan-Higgins, Simone D Vitali, Colleen Sims, Manda Page, Andrea Reiss

Abstract read
PubMed Publisher
In one paragraph

Article in EcoHealth, 2021. 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
0.4field-weighted citation impact, top 42% 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, 6 citations in OpenAlex.

  1. Improving the use of expert opinion in disease risk analysis for conservation translocations.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  2. Article
  3. Animals : an open access journal from MDPI · 2023
    Article
  4. 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.

Rebecca J Vaughan-HigginsConservation Medicine Program, College of Veterinary Medicine, School of Veterinary and Life Sciences, Murdoch University, South Street, Murdoch, WA, 6150, Australia. R.Vaughan-Higgins@murdoch.edu.au.
Simone D VitaliVeterinary Department, Perth Zoo, 20 Labouchere Rd, South Perth, WA, 6151, Australia.
Colleen SimsBiodiversity and Conservation Science Division, Department of Biodiversity Conservation and Attractions, Woodvale Wildlife Research Centre, Wildlife Place, Woodvale, 6026, Australia.
Manda PageBiodiversity and Conservation Science Division, Department of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Technology Park Western Precinct, Kensington, 6151, Australia.
Andrea ReissWildlife Health Australia, Suite E, 34 Suakin Drive, Mosman, NSW, 2088, Australia.
Australian Wildlife Conservancy · AUMurdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease risk analysis (DRA) is a process for identifying significant disease risks and proposing measures to mitigate those risks. Although numerous methodologies for DRA exist, the IUCN Disease Risk Analysis Manual Jakob-Hoff et al. (World Organisation for Animal Health, Paris, pp 160, 2014) remains the gold standard for wild animal translocations. In some cases, however, constraints of time or resources demand compromises on the ideal methodology, and a cost-benefit assessment is required to determine the best approach. We propose a methodology modified from Jakob-Hoff et al. (World Organisation for Animal Health, Paris, pp 160, 2014) and Sainsbury and Vaughan-Higgins (Conserv Biol 26:442-452, 2012), using translocations of the Shark Bay bandicoot (SBB) (Perameles bougainville) as an example. In this study, 44 hazards were identified and described for Peramelidae species. We used hazard prioritization and "scoping" to develop a shortlist of hazards for detailed risk assessment, which excluded 35 of these hazards from further assessment. This approach enabled timely, efficient and cost-effective completion of the DRA while maintaining transparent evaluation of all disease risks. We developed a disease risk management strategy for SBB based on structured, evidence-based analysis of current information and established biosecurity practices and disease screening recommendations for future translocations. Our approach demonstrates a practical process for DRA and risk mitigation, which delivered management outcomes despite limited resources, variable knowledge of disease epidemiology and uncertain translocation pathways for the target species. Limitations are acknowledged, and further research will aim to objectively test this methodology compared to other available methods.

Indexed as

MarsupialiaSharksAnimalsAnimals, WildRisk AssessmentConservationDisease risk analysisMarsupialRisk assessmentTranslocation

Identifiers

PMID33835320
OpenAlexW3148940875

What OpenQuestion holds

Textmetadata
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.