Evidence map›Paper›PMID 35405877›Full record

ArticleAnimals : an open access journal from MDPI2022

Standardised Sampling Approach for Investigating Pathogens or Environmental Chemicals in Wild Game at Community Hunts.

Denny Maaz, Carl Gremse, Kaya C Stollberg, Claudia Jäckel, Smita Sutrave, Carolyn Kästner, Birsen Korkmaz, Martin H Richter, Niels Bandick, Julia Steinhoff-Wagner and 2 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Increased occurrence ofOne health (Amsterdam, Netherlands) · 2025
    Article
  3. Heliyon · 2024
    Article
  4. Article
  5. High toxinogenic potential ofFrontiers in veterinary science · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Wildlife Disease Monitoring: Methods and Perspectives.Animals : an open access journal from MDPI · 2022
    Article
  11. Evaluation of the Occurrence ofMicrobiology spectrum · 2022
    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

12 authors.

Denny MaazGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-5005-4416
Carl GremseGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.
Kaya C StollbergGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-2313-1623
Claudia JäckelGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.
Smita SutraveGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-2040-1659
Carolyn KästnerGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.
Birsen KorkmazGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0003-3359-2201
Martin H RichterGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-8649-5248
Niels BandickGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.
Julia Steinhoff-WagnerGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0003-0180-9859
Monika Lahrssen-WiederholtFederal Ministry of Food and Agriculture (BMEL), Wilhelmstraße 54, 10117 Berlin, Germany.
Anneluise MaderGerman Federal Institute for Risk Assessment (BfR), Max-Dohrn-Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-3298-3668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildlife may host pathogens and chemicals of veterinary and public health relevance, as well as pathogens with significant economic relevance for domestic livestock. In conducting research on the occurrence and distribution of these agents in wildlife, a major challenge is the acquisition of a sufficient number of samples coupled with efficient use of manpower and time. The aim of this article is to present the methodology and output of a sampling approach for game animals, which was implemented from 2017/18 to 2020/21 at drive hunts in Brandenburg, Germany. The central element was a framework agreement with the BImA, whereby federal forest officials and other hunters collected most of the samples during field dressing. Further samples of game carcasses were obtained by scientists during subsequent gathering at a collection point. Altogether, 3185 samples from 938 wild ungulates of four species were obtained for various studies analysing-in this case-food-borne agents in game animals. Sampling was representative and reflected the proportional distribution of ungulate species hunted in Brandenburg. Hunting district and hunting season strongly influenced hunting bag and hence sampling success. This sampling approach was demonstrated to be a suitable basis for monitoring programs, that can be adapted to other regions.

Indexed as

contaminantdeergame meathuntingmonitoringpathogensamplingwild boarzoonosis

Identifiers

PMID35405877
PMCPMC8996972

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.