Evidence map›Paper›PMID 40303672›Full record

ArticleTransboundary and emerging diseases2023

Drone-Based Thermal Imaging in the Detection of Wildlife Carcasses and Disease Management.

Janine Rietz, Suzanne T S van Beeck Calkoen, Nicolas Ferry, Jens Schlüter, Helena Wehner, Karl-Heinz Schindlatz, Tomáš Lackner, Christian von Hoermann, Franz J Conraths, Jörg Müller and 1 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. 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.

Janine RietzDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0003-1057-2304
Suzanne T S van Beeck CalkoenDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0002-2574-9056
Nicolas FerryDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0001-5191-9648
Jens SchlüterDepartment of Conservation and Research, Bavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0009-0002-7835-8806
Helena WehnerDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0001-8885-8877
Karl-Heinz SchindlatzDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.
Tomáš LacknerDepartment of Conservation and Research, Bavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0002-0108-5785
Christian von HoermannDepartment of Conservation and Research, Bavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0001-6487-1540
Franz J ConrathsFriedrich-Loeffler-Institut, Institute of Epidemiology, 17493 Greifswald-Insel Riems, Germany.ORCID https://orcid.org/0000-0002-7400-9409
Jörg MüllerDepartment of Conservation and Research, Bavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0002-1409-1586
Marco HeurichDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straβe 2, 94481 Grafenau, Germany.ORCID https://orcid.org/0000-0003-0051-2930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because animal carcasses often serve as reservoirs for pathogens, their location and removal are crucial in controlling the spread of diseases. During carcass decomposition, heat is emitted due to microbial activity and the development of maggots. Recent studies have shown that infrared sensors can be used to locate animal carcasses, but little is known about the factors influencing detection success. In this study, we investigated the potential of infrared technology to locate wild boar carcasses, as they play an important role in the spread of African swine fever. Specifically, we tested the effects of environmental and carcass conditions on the detection probability. A drone-based thermal camera was used to collect data during 379 flyovers of 42 wild boar carcasses in different stages of decomposition between September 2020 and July 2021. Generalized mixed-effect models and conditional inference trees were used to identify the environmental and carcass conditions that influenced the detection probability. Our results showed that the thermal camera accurately measured carcass temperature (

Indexed as

Sus scrofaThermographyAfrican Swine FeverAnimalsAnimals, WildSwine

Identifiers

PMID40303672
PMCPMC12017128

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.