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A comprehensive approach is essential in India's ongoing battle against air pollution, combining technological advancements, regulatory reinforcement, and widespread societal engagement. Bridging technological gaps involves deploying sophisticated pollution control technologies and addressing the rural-urban disparity through innovative solutions. The review found that integrating Artificial Intelligence and Machine Learning (AI&ML) in air quality forecasting demonstrates promising results with a remarkable model efficiency. In this study, initially, we compute the PM concentration over India using a surface mass concentration of 5 key aerosols such as black carbon (BC), dust (DU), organic carbon (OC), sea salt (SS) and sulphates (SU), respectively. The study identifies several regions highly vulnerable to PM pollution due to specific sources. The Indo-Gangetic Plains are notably impacted by high concentrations of BC, OC, and SU resulting from anthropogenic activities. Western India experiences higher DU concentrations due to its proximity to the Sahara Desert. Additionally, certain areas in northeast India show significant contributions of OC from biogenic activities. Moreover, an AI&ML model based on convolutional autoencoder architecture underwent rigorous training, testing, and validation to forecast PM concentrations across India. The results reveal its exceptional precision in PM prediction, as demonstrated by model evaluation metrics, including a Structural Similarity Index exceeding 0.60, Peak Signal-to-Noise Ratio ranging from 28-30 dB and Mean Square Error below 10 μg/m. However, regulatory challenges persist, necessitating robust frameworks and consistent enforcement mechanisms, as evidenced by the complexities in predicting PM concentrations. Implementing tailored regional pollution control strategies, integrating AI&ML technologies, strengthening regulatory frameworks, promoting sustainable practices, and encouraging international collaboration are essential policy measures to mitigate air pollution in India.
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http://dx.doi.org/10.1038/s41598-024-71269-7 | DOI Listing |
J Healthc Sci Humanit
January 2024
Atlanta VA Medical Center, Atlanta, GA.
The 2019 novel coronavirus disease (COVID-19) has brought to the forefront racial disparities in health outcomes across the US, but there is limited formal analysis into factors associated with these disparities. In-depth examination of COVID-19 disparities has been challenging due to inconsistent case definition, isolation procedures, and incomplete racial and medical information. As of June 2020, over 14,000 (25%) confirmed COVID-19 cases in Georgia did not have racial information.
View Article and Find Full Text PDFEnviron Epidemiol
October 2025
Department of Psychiatry and Behavioral Health, The Ohio State University, Ohio.
Background: Prospective studies suggest that prenatal exposure to chemical neurotoxicants and maternal stress increase risk for psychiatric problems. However, most studies have focused on childhood outcomes, leaving adolescence-a critical period for the emergence or worsening of psychiatric symptoms-relatively understudied. The complexity of prenatal coexposures and adolescent psychiatric comorbidities, particularly among structurally marginalized populations with high exposure burdens, remains poorly understood.
View Article and Find Full Text PDFGlob Health Action
December 2025
Department of Otolaryngology, Head & Neck Surgery, Shanxi Medical University Second Affiliated Hospital, Taiyuan, Shanxi Province, China.
Background: Allergic rhinitis (AR) is an increasingly prominent global public health issue, where air pollution significantly contributes to its rising incidence. Although numerous studies have explored the link between air pollution and AR pathogenesis, comprehensive summaries are still limited.
Objective: This study performs a bibliometric analysis to identify research hotspots and emerging trends, offering insights into AR prevention and management.
Mol Nutr Food Res
September 2025
Laboratory of Bio-Analytical Chemistry, Research Institute of Pharmaceutical Sciences, Faculty of Pharmacy, Musashino University, Nishitokyo, Tokyo, Japan.
Health hazards caused by air pollutants are increasing worldwide (SDGs 3.9), but no established prevention methods exist. Recently, we showed that intraperitoneal administration of epigallocatechin gallate (EGCG) prevents air pollutant-induced acute lung injury.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Department of Environment and Life Science, KSKV Kachchh University, Bhuj, Gujarat, 370 001, India.
India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions.
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