Evidence map›Paper›PMID 42862349›Full record

ArticleDie Naturwissenschaften2026

No armor is perfect: detecting hotspots of parasitic horse fly attacks on black caiman through 3D modeling and citizen science.

Gabriel A Brito Vera, Bruce Anthony Tumbaco Vega

Abstract read
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In one paragraph

Article in Die Naturwissenschaften, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Gabriel A Brito VeraFaculty of Marine Sciences, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador. gabrielbrito1991@gmail.com.ORCID http://orcid.org/0000-0003-0214-9979
Bruce Anthony Tumbaco VegaFaculty of Marine Sciences, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador.ORCID http://orcid.org/0000-0002-3558-2923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ectoparasites often exploit anatomical weak points in their hosts, yet how their attacks are distributed across the body remains poorly understood in armored ectotherms and other organisms partly due to scarce data and the lack of spatial tools for studying parasitism on complex surfaces. This study combines citizen-science imagery with three-dimensional kernel density estimation (3D KDE) to examine 275 tabanid biting events on Melanosuchus niger, mapped onto a high-resolution 3D anatomical model. Contrary to expectations, bite intensity was unrelated to surface exposure; instead, attacks clustered in nasal and orbital regions. These findings reveal non-random, anatomy-driven parasitism and introduce a replicable spatial framework for quantifying host-parasite interactions using open-access data and morphological modeling. This complementary approach advances the ecological understanding of microhabitat selection in ectoparasites and provides new tools for exploring fine-scale interactions in elusive or logistically constrained systems.

Indexed as

Citizen ScienceDipteraHost-Parasite InteractionsAnimalsImaging, Three-Dimensional3D modelingAlligatoridaeCitizen scienceCrocodyliaEctoparasitismHost–parasite interactionsMelanosuchus nigerTropical ectotherms

Identifiers

What OpenQuestion holds

Textmetadata
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.