Evidence map›Paper›PMID 34256001›Full record

ArticleProceedings. Biological sciences2021

Early detection of wildlife morbidity and mortality through an event-based surveillance system.

Terra R Kelly, Pranav S Pandit, Nicole Carion, Devin F Dombrowski, Krysta H Rogers, Stella C McMillin, Deana L Clifford, Anthony Riberi, Michael H Ziccardi, Erica L Donnelly-Greenan and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Preparedness, prevention and control related to zoonotic avian influenza.EFSA journal. European Food Safety Authority · 2025
    Article
  5. Estimating the impact of sarcoptic mange epidemic on the population size of wild raccoon dogs (International journal for parasitology. Parasites and wildlife · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Interrupted Lives: Welfare Considerations in Wildlife Rehabilitation.Animals : an open access journal from MDPI · 2023
    Review
  12. 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

11 authors at 4 institutions in 1 country.

Terra R KellyKaren C. Drayer Wildlife Health Center, University of California, Davis, CA, USA.
Pranav S PanditEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California, Davis, CA, USA.
Nicole CarionWildlife Health Laboratory, California Department of Fish and Wildlife, Rancho Cordova, CA, USA.
Devin F DombrowskiThe Wild Neighbors Database Project, Middletown, CA, USA.
Krysta H RogersWildlife Health Laboratory, California Department of Fish and Wildlife, Rancho Cordova, CA, USA.
Stella C McMillinWildlife Health Laboratory, California Department of Fish and Wildlife, Rancho Cordova, CA, USA.
Deana L CliffordWildlife Health Laboratory, California Department of Fish and Wildlife, Rancho Cordova, CA, USA.
Anthony RiberiY3TI, Lafayette, CA, USA.
Michael H ZiccardiKaren C. Drayer Wildlife Health Center, University of California, Davis, CA, USA.
Erica L Donnelly-GreenanMoss Landing Marine Laboratories/BeachCOMBERS Program, San Jose State University, CA, USA.
Christine K JohnsonEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California, Davis, CA, USA.
California Department of Fish and Wildlife · USCenter for Disease Dynamics, Economics & Policy · USUniversity of California, Davis · USSan Jose State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to rapidly detect and respond to wildlife morbidity and mortality events is critical for reducing threats to wildlife populations. Surveillance systems that use pre-diagnostic clinical data can contribute to the early detection of wildlife morbidities caused by a multitude of threats, including disease and anthropogenic disturbances. Here, we demonstrate proof of concept for use of a wildlife disease surveillance system, the 'Wildlife Morbidity and Mortality Event Alert System', that integrates pre-diagnostic clinical data in near real-time from a network of wildlife rehabilitation organizations, for early and enhanced detection of unusual wildlife morbidity and mortality events. The system classifies clinical pre-diagnostic data into relevant clinical classifications based on a natural language processing algorithm, generating alerts when more than the expected number of cases is recorded across the rehabilitation network. We demonstrated the effectiveness and efficiency of the system in alerting to events associated with both common and emerging diseases. Tapping into this readily available unconventional general surveillance data stream offers added value to existing wildlife disease surveillance programmes through a relatively efficient, low-cost strategy for the early detection of threats.

Indexed as

Animals, WildAnimalsMorbidityearly detection systemgeneral disease surveillancewildlife disease surveillancewildlife morbiditywildlife mortalitywildlife rehabilitation

Identifiers

PMID34256001
PMCPMC8277475
OpenAlexW3182057247

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.