Evidence map›Paper›PMID 42032846›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2026

Improving the use of expert opinion in disease risk analysis for conservation translocations.

John G Ewen, Stefano Canessa, Caitlin E Andrews, Katie M Beckmann, Irene Bueno, Deidre K Fontenot, Caio Kenup, Suzanne Medina, Axel Moehrenschlager, Francesco Origgi and 4 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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
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.

John G EwenInstitute of Zoology, Zoological Society of London, London, UK.ORCID https://orcid.org/0000-0001-6402-1378
Stefano CanessaDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy.ORCID https://orcid.org/0000-0002-0932-826X
Caitlin E AndrewsInstitute of Zoology, Zoological Society of London, London, UK.
Katie M BeckmannThe Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Midlothian, UK.
Irene BuenoBristol Veterinary School, University of Bristol, Bristol, UK.
Deidre K FontenotDisney's Animals, Science, and Environment, Lake Buena Vista, Florida, USA.
Caio KenupInstitute of Zoology, Zoological Society of London, London, UK.
Suzanne MedinaDivision of Aquatic and Wildlife Resources, Guam Department of Agriculture, Mangilao, Guam.
Axel MoehrenschlagerConservation Translocation Specialist Group, IUCN Species Survival Commission, Calgary, Alberta, Canada.
Francesco OriggiInstitute of Animal Pathology (ITPA), University of Bern, Bern, Switzerland.
Bruce RideoutWildlife Disease Laboratories, Institute for Conservation Research, San Diego, California, USA.
Anthony W SainsburyInstitute of Zoology, Zoological Society of London, London, UK.ORCID https://orcid.org/0000-0002-5397-287X
Thierry M WorkNational Wildlife Health Center, U.S. Geological Survey, Honolulu, Hawaii, USA.
Claudia CarraroInstitute of Zoology, Zoological Society of London, London, UK.

Funding

U.S. Fish and Wildlife Service Federal Award F21AP00245
6 · The paper itself

Abstract

Conservation translocations are subject to considerable uncertainty and risk, of which disease is one of the most recognized. To address disease risks, several protocols for qualitative disease risk analysis (qDRA) exist and are used for responsible conservation translocation planning. Existing qDRA protocols usually rely on expert judgment, but they lack quantitative aggregation of elicited estimates, transparent treatment of uncertainty, and explicit comparison of alternative disease risk management pathways. We added these factors to a qDRA for translocation of a charismatic species that is extinct in the wild, the sihek (Guam kingfisher) (Todiramphus cinnamominus). We asked a panel of seven independent experts to quantify their judgment of risks of pathogen release, exposure, and consequences for seven pathogen hazards under three translocation management scenarios. Experts suggested that implementing a full biosecurity protocol would reduce risk for several pathogen hazards but would have variable effectiveness (11-65% depending on the hazard). There was substantial uncertainty associated with individual experts and noise among different experts, showing the potential for error if decisions are based on single-point judgments (i.e., providing judgment of a central tendency without accounting for uncertainty) from one expert or on collaborative consensus of multiple experts, as is current practice.

Indexed as

Conservation of Natural ResourcesAnimalsBiosecurityRisk AssessmentUncertaintyanálisis de riesgoassisted colonizationcolonización asistidaconservation translocationcriterio de los expertosdisease risk assessmentevaluación del riesgo patológicoexpert judgementGuam kingfishermartín pescador de Guamreubicación por conservaciónrisk analysissihek

Identifiers

PMID42032846
PMCPMC13392744

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.