Evidence map›Paper›PMID 25551673›Full record

ArticlePloS one2014

Unmanned aircraft systems for studying spatial abundance of ungulates: relevance to spatial epidemiology.

José A Barasona, Margarita Mulero-Pázmány, Pelayo Acevedo, Juan J Negro, María J Torres, Christian Gortázar, Joaquín Vicente

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  3. Article
  4. Article
  5. Unprecedented opportunities for a transformational change.Journal of neonatal nursing : JNN · 2021
    Article
  6. Article
  7. Long-Term Determinants of the Seroprevalence ofAnimals : an open access journal from MDPI · 2020
    Article
  8. Veterinary world · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Surgical and Medical Applications of Drones: A Comprehensive Review.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    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

7 authors.

José A BarasonaSaBio IREC, National Wildlife Research Institute (CSIC-UCLM-JCCM), Ciudad Real, Spain.
Margarita Mulero-PázmányDepartment of Evolutionary Ecology, Doñana Biological Station, CSIC, Seville, Spain.
Pelayo AcevedoSaBio IREC, National Wildlife Research Institute (CSIC-UCLM-JCCM), Ciudad Real, Spain.
Juan J NegroDepartment of Evolutionary Ecology, Doñana Biological Station, CSIC, Seville, Spain.
María J TorresDepartment of Microbiology, Universidad de Sevilla, Seville, Spain.
Christian GortázarSaBio IREC, National Wildlife Research Institute (CSIC-UCLM-JCCM), Ciudad Real, Spain.
Joaquín VicenteSaBio IREC, National Wildlife Research Institute (CSIC-UCLM-JCCM), Ciudad Real, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex ecological and epidemiological systems require multidisciplinary and innovative research. Low cost unmanned aircraft systems (UAS) can provide information on the spatial pattern of hosts' distribution and abundance, which is crucial as regards modelling the determinants of disease transmission and persistence on a fine spatial scale. In this context we have studied the spatial epidemiology of tuberculosis (TB) in the ungulate community of Doñana National Park (South-western Spain) by modelling species host (red deer, fallow deer and cattle) abundance at fine spatial scale. The use of UAS high-resolution images has allowed us to collect data to model the environmental determinants of host abundance, and in a further step to evaluate their relationships with the spatial risk of TB throughout the ungulate community. We discuss the ecological, epidemiological and logistic conditions under which UAS may contribute to study the wildlife/livestock sanitary interface, where the spatial aggregation of hosts becomes crucial. These findings are relevant for planning and implementing research, fundamentally when managing disease in multi-host systems, and focusing on risky areas. Therefore, managers should prioritize the implementation of control strategies to reduce disease of conservation, economic and social relevance.

Indexed as

AircraftSpatial AnalysisAnimalsCattleDeerEpidemiological MonitoringHost SpecificityRisk FactorsSus scrofaTuberculosis

Identifiers

PMID25551673
PMCPMC4281124

What OpenQuestion holds

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Registered trials

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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.