ReviewInternational journal of environmental research and public health2018
Air Pollution Forecasts: An Overview.
Review in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
What it found
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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
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 392 citations in OpenAlex.
- Short-term exposure to particulate matter on heart rate variability in humans: a systematic review of crossover and controlled studies.Environmental science and pollution research international · 2021Pooled it
- Spatiotemporal Associations Between Ambient Air Pollution and Neoplasm Morbidity in Eastern Kazakhstan: Age-Specific Patterns and Spatial Heterogeneity, 2014-2024.International journal of environmental research and public health · 2026Article
- Enhancing 5-Day Particulate Matter (PM10) Forecasts in Morocco Using U-Net: A Deep Learning Approach.Atmospheric research · 2026Article
- An XGBoost-based cellular automata for modeling PM₂.₅ concentration using ground and satellite data.Scientific reports · 2025Article
- Investigation of road transport-based greenhouse gas prediction models and the use of ıntelligent transportation systems for emission reduction.Scientific reports · 2025Article
- Integrating quantile regression with ARIMA and ANN for interpretable and accurate PM2.5 forecasting in Hat Yai, Thailand.Scientific reports · 2025Article
- A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations.Scientific reports · 2025Article
- Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach.Scientific reports · 2025Article
- Enhancing urban quality of life evaluation using spatial multi criteria analysis.Scientific reports · 2025Article
- The microbiome of Total Suspended Particles and its influence on the respiratory microbiome of healthy office workers.Ecotoxicology and environmental safety · 2025Article
- Time-Series Forecasting of PMSensors (Basel, Switzerland) · 2024Article
- Transforming air pollution management in India with AI and machine learning technologies.Scientific reports · 2024Article
- Effective weight optimization strategy for precise deep learning forecasting models using EvoLearn approach.Scientific reports · 2024Article
- The microbiome of Total Suspended Particles (TSP) and its influence on the respiratory microbiome of healthy office workers.bioRxiv : the preprint server for biology · 2024Article
- Predicting Particulate Matter (Research square · 2024Article
- Developing a Cloud-Based Air Quality Monitoring Platform Using Low-Cost Sensors.Sensors (Basel, Switzerland) · 2024Article
- Molecular mechanisms underlying NLRP3 inflammasome activation and IL-1β production in air pollution fine particulate matter (PMEnvironmental pollution (Barking, Essex : 1987) · 2024Article
- Meteorological variability and predictive forecasting of atmospheric particulate pollution.Scientific reports · 2024Article
- Explainable sequence-to-sequence GRU neural network for pollution forecasting.Scientific reports · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.
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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.