ArticleAnimals : an open access journal from MDPI2025
Safeguarding Bee Health: Insights from a Collaborative Monitoring and Prevention Project Against Pesticide Poisonings.
Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent decades, bee poisoning due to pesticides and agrochemicals has increased, posing significant challenges to honey bee health and contributing to the so-called "Colony Collapse Disorder" (CCD). Poor knowledge about the level of exposure of bee colonies to pesticides and agrochemicals, whether from the environment or beekeeping management practices, is a major limiting factor in preventing these diseases. Collaboration among different stakeholders, such as beekeeping associations, local veterinary authorities, and researchers, is essential to create monitoring programs that can collect these data and enable the prompt implementation of surveillance and preventive actions to address potential bee colony poisoning incidents caused by these contaminants. The present study describes the results obtained through a collaborative initiative that was implemented for monitoring and preventing pesticide-induced bee poisonings in a territory of northern Italy where the exposure of honey bee colonies to different types of pesticides and agrochemicals may occur. Four sentinel apiaries were selected based on possible sources of pollution throughout the territory. Pollen samples were collected at different times during the years 2021-2022 and analyzed for pesticides using gas and liquid chromatography tandem quadrupole mass spectrometry (GC-MS/MS and LC-MS/MS) techniques. The findings showed the presence of a number of pesticides, such as pyrethroids, permethrin, cypermethrin, amitraz, and pendimethalin, at varying concentrations. Acute bee mortality was observed in a field case related to pyrethroid exposure in 2022, in an urban area. These results confirm the need for timely interventions, improved sampling methods, and continuous monitoring to safeguard bee populations. Collaboration with local beekeepers and public authorities is thus essential in addressing pesticide use and bee health challenges, fostering efficient communication and training efforts to support sustainable beekeeping.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.