Evidence map›Paper›PMID 40548252›Full record

ArticleTransboundary and emerging diseases2025

Rapid Risk Assessment Framework to Estimate Potential for Spillback at Human-Wildlife Interfaces.

Travis McDevitt-Galles, Tricia L Fry, Katherine L D Richgels, Daniel A Grear

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2025. 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. 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

4 authors.

Travis McDevitt-GallesNational Wildlife Health Center, U.S. Geological Survey, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-4929-5431
Tricia L FryNational Wildlife Health Center, U.S. Geological Survey, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-1506-048X
Katherine L D RichgelsNational Wildlife Health Center, U.S. Geological Survey, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-2834-9477
Daniel A GrearNational Wildlife Health Center, U.S. Geological Survey, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-5478-1549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 60% of emerging infectious diseases of humans have a wildlife origin, and when these diseases spread through human populations to new geographical areas, there is a considerable risk of spillback from humans to wildlife species. Spillback events can have severe consequences for wildlife populations, where the disease may cause morbidity and mortality, and human populations, where the establishment in wildlife may lead to prolonged transmission or new exposures in humans. Mitigating these consequences requires identifying the key risk factors that lead to human-wildlife transmission events and implementing risk-reducing actions, a challenge given that cross-species transmission events are rare and often data deficient. To identify potential species and locations that are most likely to lead to these rare events, we developed a spatially explicit, rapid risk assessment framework that incorporates three components of the spillback process: wildlife susceptibility, wildlife exposure, and pathogen introduction pressure. To demonstrate the broad applicability of our framework, we conducted a rapid risk assessment on two recent emerging zoonotic pathogens in humans, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and mpox, to determine the relative spillback risk to wild mammalian species in the continental United States. The rapid risk assessment identified both species and locations with higher than expected spillback risk, providing managers and researchers with valuable information to prioritize surveillance and risk-mitigation actions. Our framework represents a rapid and flexible approach to assess the risks of spillback to wildlife populations during rapidly evolving zoonotic disease outbreaks.

Indexed as

Animals, WildCommunicable Diseases, EmergingCOVID-19ZoonosesAnimalsHumansRisk AssessmentSARS-CoV-2United States

Identifiers

PMID40548252
PMCPMC12181658

What Socratic 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 Socratic graph.