Evidence map›Paper›PMID 36423078›Full record

ArticleVeterinary sciences2022

Fifty Years of Wildlife Diseases in Europe: A Citation Database Meta-Analysis.

Rachele Vada, Stefania Zanet, Ezio Ferroglio

Abstract read
In one paragraph

Article in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. High Exposure to Livestock Pathogens in Southern Pudu (Animals : an open access journal from MDPI · 2024
    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

3 authors.

Rachele VadaDepartment of Veterinary Sciences, Università Degli Studi di Torino, Largo Paolo Braccini, 2, Grugliasco, 10095 Torino, Italy.
Stefania ZanetDepartment of Veterinary Sciences, Università Degli Studi di Torino, Largo Paolo Braccini, 2, Grugliasco, 10095 Torino, Italy.ORCID 0000-0002-7543-399X
Ezio FerroglioDepartment of Veterinary Sciences, Università Degli Studi di Torino, Largo Paolo Braccini, 2, Grugliasco, 10095 Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although wildlife has progressively been recognized as a booster for the spillover of pathogens to humans and other wild and domestic animals, the interest of scientists in this topic has not been constant over time and uniform in its targets. Epidemiological outbreaks and technological development have contributed to this. Through the analysis of the number of publications from a citation database, we aimed to obtain an indicator of the scientific community's interest towards wildlife diseases over the years. Using Web of Science, bibliographic searches were performed by adding to the basic search string "Wildlife AND Disease" terms detailing topics such as aspect investigated, pathogen type, aetiologic group and species group. For each host species group, the 100 most frequent Medical Subject Headings (MeSHs) related to specific diseases in each decade were extracted. The scientific production regarding wildlife diseases has increased 3.7 times the relative proportion of publications on diseases during the last 50 years, focusing mainly on zoonotic or epizootic pathogens, and with a sharp growth in contemporary hot topics. Wildlife disease scenarios are complex and challenging to approach. Knowing the trends in the scientific interest in the past decades may pose a guide to direct future steps and actions in several fields, from public health to ecosystem management.

Indexed as

publication trendsscientific databasestrend analysiswild animalszoonoses

Identifiers

PMID36423078
PMCPMC9695487

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.