ArticleInsects2022
Modeling the Potential Global Distribution of Honeybee Pest,
Article in Insects, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed, 41 citations in OpenAlex.
- Predicting global distribution shifts of Tabanus taeniola under different climate change scenarios.Scientific reports · 2026Article
- Explainable VGG16 transfer learning with SHAP and grad-CAM for wax moth pest and infestation detection in honeybee apiaries using imaging data.Scientific reports · 2026Article
- Simulating the distribution changes and future climate responses of a key invasive plant in Northwest China's natural grasslands using an optimized MaxEnt model.Frontiers in plant science · 2026Article
- Effects of Parasitism and Venom from the EndoparasitoidInsects · 2025Article
- Virulence ofBiology · 2025Article
- Article
- Predicting Suitable Habitat forInsects · 2025Article
- Evaluation of ecological consequences on the global distribution of Staphylococcus aureus Rosenbach 1884 due to climate change, using Maxent modeling.Scientific reports · 2025Article
- Implications for agricultural sustainability: predicting the global distribution ofFrontiers in plant science · 2025Article
- Impact of climate change on the potential global prevalence ofFrontiers in plant science · 2025Article
- The Potential Habitat Response ofPlants (Basel, Switzerland) · 2024Article
- Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It.Insects · 2024Review
- Article
- Using Analytic Hierarchy Process to Assess Beekeeping Suitability in Portuguese Controlled Areas: A First Approach.Insects · 2024Article
- Article
- Greater wax moth control in apiaries can be improved by combining Bacillus thuringiensis and entrapments.Nature communications · 2023Article
- Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change.Scientific reports · 2023Article
- Beekeeping in Europe facing climate change: A mixed methods study on perceived impacts and the need to adapt according to stakeholders and beekeepers.The Science of the total environment · 2023Article
- Climate Change and Insects.Insects · 2023Article
- Fungus under a Changing Climate: Modeling the Current and Future Global Distribution ofMicroorganisms · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Beekeeping is essential for the global food supply, yet honeybee health and hive numbers are increasingly threatened by habitat alteration, climate change, agrochemical overuse, pathogens, diseases, and insect pests. However, pests and diseases that have unknown spatial distribution and influences are blamed for diminishing honeybee colonies over the world. The greater wax moth (GWM),
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.