Effects of ambient air pollution on emergency room visits of children for acute respiratory symptoms in Delhi, India

Yadav, Rashmi; Nagori, Aditya; Mukherjee, Aparna; Singh, Varinder; Lodha, Rakesh; Kabra, Sushil Kumar; Yadav, Geetika; Saini, Jitendra Kumar; Singhal, Kamal Kumar; Jat, Kana Ram; Madan, Karan; George, Mohan P.; Mani, Kalaivani; Mrigpuri, Parul; Kumar, Ritesh; Guleria, Randeep; Pandey, Ravindra Mohan; Sarin, Rohit; Dhaliwal, Rupinder Singh

doi:10.1007/s11356-021-13600-7

Cited by 17 publications

(10 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, compared with other pollutants, NO 2 seems to better reflect the effects of air pollution on pediatric pneumonia and asthma hospitalization. Considering the stability of NO 2 , and its properties as a major traffic pollutant ( 69 , 70 ), implementation of more effective environmental policies should be formulated in Ningbo to reduce children's exposure to NO 2 and thus its harmful effects on childhood health.…”

Section: Discussionmentioning

confidence: 99%

Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015–2017

Zhou

Guo

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

IntroductionExposure to ambient air pollutants is associated with an increased incidence of respiratory diseases such as pneumonia and asthma, especially in younger children. We investigated the relationship between rates of hospitalization of children aged under 5 years for pneumonia and asthma and the concentration of air pollutants in Ningbo between January 1, 2015 and August 29, 2017.MethodsData were obtained from the Ningbo Air Quality Data Real-time Publishing System and the big data platform of the Ningbo Health Information Center. A generalized additive model was established via logarithmic link function and utilized to evaluate the effect of pollutant concentration on lag dimension and perform sensitivity analysis.ResultsA total of 10,301 cases of pneumonia and 115 cases of asthma were identified over the course of this study. Results revealed that PM2.5, PM10, SO2 and NO2 were significantly associated with hospitalization for pneumonia and asthma in children under 5 years of age. For every 10-unit increase in lag03 air pollutant concentration, hospitalization for pneumonia and asthma due to PM2.5, PM10, SO2 and NO2 increased by 2.22% (95%CI: 0.64%, 3.82%), 1.94% (95%CI: 0.85%, 3.04%), 11.21% (95%CI: 4.70%, 18.10%) and 5.42% (95%CI: 3.07%, 7.82%), respectively.DiscussionAdverse effects of air pollutants were found to be more severe in children aged 1 to 5 years and adverse effects due to PM2.5, PM10 and SO2 were found to be more severe in girls. Our findings underscore the need for implementation of effective public health measures to urgently improve air quality and reduce pediatric hospitalizations due to respiratory illness.

show abstract

Section: Discussionmentioning

confidence: 99%

Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015–2017

Zhou

Guo

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…Air quality in India has drastically decreased in recent years as a result of the country's growing urbanization and industry (Khilnani and Tiwari 2018;Mishra 2019). Air pollution in New Delhi, the capital city of India, and its effect on public health have been in focus in recent years (Krishan et al 2019;Yadav et al 2021). Delhi is one of the most polluted cities in the world now.…”

Section: Statements and Declarations Introductionmentioning

confidence: 99%

An ensemble deep learning approach for air quality estimation in Delhi, India

Mohan,

Abraham

2023

Preprint

View full text Add to dashboard Cite

South Asian megacities are significant contributors to the degrading air quality. In highly populated northern India, Delhi is a major hotspot for air pollutants that influence health and climate. Effective mitigation of air pollution is impeded by inadequate estimation which emphasizes the need for cost-effective alternatives. This paper proposes an ensemble model based on transformer and Convolutional Neural Network (CNN) models to estimate air quality from images and weather parameters in Delhi. A Data Efficient Image transformer (DeiT) is fine-tuned with outdoor images, and parallelly dark-channel prior extracted from images are fed to a CNN model. Additionally, a 1-dimensional CNN is trained with meteorological features to improve accuracy. The predictions from these three parallel branches are then fused with ensemble learning to classify images into six Air Quality Index (AQI) classes and estimate the AQI value. To train and validate the proposed model, an image dataset is collected from Delhi, India termed ‘AirSetDelhi’ and properly labeled with ground-truth AQI values. Experiments conducted on the dataset demonstrate that the proposed model outperforms other deep learning networks in the literature. The model achieved an overall accuracy of 89.28% and a Cohen Kappa score of 0.856 for AQI classification, while it obtained an RMSE of 47.36 and an R2 value of 0.861 for AQI estimation, demonstrating efficacy in both tasks. As a regional estimation model based on images and weather features, the proposed model offers an alternative feasible approach for air quality estimation.

show abstract

“…A few studies, mostly from Asia, have demonstrated significant daily-level associations between air quality and human physical and emotional health. In India and China, hospital admissions for asthma and airway obstructions increased on days that air quality was worse 17 and on days after air quality was worse the previous day 18 , even among children 19 . Similarly, mortality increased on days after air quality was worse in Canada 20 .…”

Section: Introductionmentioning

confidence: 99%

“…However, no known studies have examined daily links between air quality and adolescents’ emotional health, or have addressed daily links between air quality and emotional health in the US context. Given these within-subject, daily links between pollution and adults’ emotional health 21 , 22 , and also the previous between-subject, cross-sectional links between pollution and youths’ emotional health 19 , it is highly likely that pollution is also associated within-subjects on a daily level to adolescents’ emotional health. It is important to extending prior within-subjects research on this topic to the adolescent period, because adolescence is a sensitive developmental transition for the emergence emotional difficulties 13 .…”

Section: Introductionmentioning

confidence: 99%

A 28-day, 2-year study reveals that adolescents are more fatigued and distressed on days with greater NO2 and CO air pollution

Armstrong‐Carter

Fuligni

et al. 2022

Sci Rep

View full text Add to dashboard Cite

This 2-year, 28-day study examined whether adolescents felt greater fatigue and emotional distress the same day and the day after air quality was worse. We linked objective daily air quality measurements to daily self-reports from 422 Mexican–American adolescents in Los Angeles County, California from 2009 to 2011 (50% girls, MAge = 15 years). A robust, within-subject analysis of 9696 observations revealed that adolescents with ongoing physical complaints reported greater fatigue and emotional distress on days that the air contained higher levels of nitrogen dioxide (NO2) and carbon monoxide (CO). Regardless of physical complaints, adolescents on average also reported greater fatigue the day after NO2 levels were higher. The same-day and next-day associations between air pollution and distress were mediated via daily increases in fatigue. Results were robust when controlling for day of the week, and daily temperature and humidity. Sulfur dioxide (SO2), ozone (O3), PM2.5 and PM10 were not related to daily fatigue or distress.

show abstract

Effects of ambient air pollution on emergency room visits of children for acute respiratory symptoms in Delhi, India

Abstract: doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.

Cited by 17 publications

References 54 publications

Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015–2017

Associations between air pollutant and pneumonia and asthma requiring hospitalization among children aged under 5 years in Ningbo, 2015–2017

An ensemble deep learning approach for air quality estimation in Delhi, India

A 28-day, 2-year study reveals that adolescents are more fatigued and distressed on days with greater NO2 and CO air pollution

Contact Info

Product

Resources

About