Evidence map›Paper›PMID 40773513›Full record

ArticlePloS one2025

Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries.

Laura Boehm Vock, Lauren M Mossman, Zoi Rapti, Adam G Dolezal, Sara M Clifton

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In one paragraph

Article in PloS one, 2025. 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
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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

5 authors.

Laura Boehm VockDepartment of Mathematics, Statistics, and Computer Science, St. Olaf College, Northfield, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-2687-3817
Lauren M MossmanDepartment of Mathematics, University of California Davis, Davis, California, United States of America.
Zoi RaptiDepartment of Mathematics, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Adam G DolezalDepartment of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID https://orcid.org/0000-0001-6164-1344
Sara M CliftonDepartment of Mathematics, Denison University, Granville, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey bees contribute substantially to the world economy through pollination services and honey production. In the U.S. alone, honey bee pollination is estimated to contribute at least $11 billion annually, primarily through the pollination of specialty crops. However, beekeepers lose about half of their hives every season due to disease, insecticides, and other environmental factors. Here, we explore and validate a spatiotemporal statistical model of Varroa destructor mite burden (in mites/300 bees) in managed honey bee colonies, exploring the impact of both environmental factors and beekeeper behaviors. We examine risk factors for Varroa infestation using apiary inspection data collected across the state of Illinois over 2018-2019, and we test the models using inspection data from 2020-2021. After accounting for spatial and temporal trends, we find that most environmental factors (e.g., floral quality, insecticide load) are not predictive of Varroa intensity, while lower numbers of nearby apiaries and several beekeeper behaviors (e.g., supplemental feeding and mite monitoring/treatment) are protective against Varroa. Interestingly, while monitoring and treating for Varroa is protective, treating without monitoring is no more effective than not treating at all. This is an important result supporting Integrated Pest Management (IPM) approaches.

Indexed as

BeekeepingMite InfestationsVarroidaeAnimalsBeesBehavior, AnimalIllinoisPollinationSpatio-Temporal Analysis

Identifiers

PMID40773513
PMCPMC12331053

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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.