Evidence map›Paper›PMID 41141935›Full record

ArticleOne health (Amsterdam, Netherlands)2025

A community-of-practice-built database to support the implementation and operation of national and subnational wildlife health surveillance systems.

Diego Montecino-Latorre, Mathieu Pruvot, Paloma H F Shimabukuro, Christopher M Barker, Steve Gallo, Jonathan Palmer, Susan J Kutz, Claire Cayol, Fernanda Dórea, Liz P Noguera and 5 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. 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
–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

4 citing papers in PubMed.

  1. Strengthening biodiversity conservation and One Health through ranger monitoring of wildlife health in protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  2. Article
  3. Review
  4. Review
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

15 authors.

Diego Montecino-LatorreWildlife Conservation Society, Health Program, Bronx, NY, USA.
Mathieu PruvotWildlife Conservation Society, Health Program, Bronx, NY, USA.
Paloma H F ShimabukuroOswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Christopher M BarkerDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California Davis, Davis, CA, USA.
Steve GalloWildlife Conservation Society, Conservation Technology, Bronx, NY, USA.
Jonathan PalmerWildlife Conservation Society, Conservation Technology, Bronx, NY, USA.
Susan J KutzUniversity of Calgary, Faculty of Veterinary Medicine, Calgary, AB, Canada.
Claire CayolWorld Organization of Animal Health, Paris, France.
Fernanda DóreaFood and Agriculture Organization of the United Nations, Rome, Italy.
Liz P NogueraCenter for the Advancement of Technology in Society and Industry (CATSI), Polytechnic University Taiwan-Paraguay (UPTP), Paraguay.
Damien O JolyCanadian Wildlife Health Cooperative, Réseau Canadien pour la Santé de la Faune, Saskatoon, Saskatchewan, Canada.
Chris WalzerWildlife Conservation Society, Health Program, Bronx, NY, USA.
Lucy KeattsWildlife Conservation Society, Health Program, Bronx, NY, USA.
Amanda E FineWildlife Conservation Society, Health Program, Bronx, NY, USA.
Sarah H OlsonWildlife Conservation Society, Health Program, Bronx, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, poor data management has hampered the establishment and operation of wildlife health surveillance (WHS) systems and limited the integration of environmental data into One Health frameworks. Effective WHS purpose-built databases are key to solve this problem, yet the few options available remain inaccessible or narrow in scope. To address this gap, an international partnership is developing the Health and Wildlife Knowledge (HAWK) database. HAWK supports the management of diverse data generated by multiple actors and methodologies, all within a harmonized structure and vocabulary facilitating data access, analysis, communication, and reuse. Data are secured through compartmentalization across organizations and users, while supporting compliance of FAIR and CARE data principles. Slated for release in late 2025, HAWK is envisioned as a global public good to encourage data compatibility and best practices in the wildlife conservation and One Health communities, independent of languages and location, with minimal to no cost for users.

Indexed as

DataDatabaseData managementDiseasePathogenSurveillanceToxinWildlifeWildlife healthWildlife health surveillance

Identifiers

PMID41141935
PMCPMC12553013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.