Associations between trees and grass presence with childhood asthma prevalence using deep learning image segmentation and a novel green view index

Yu, Hongyao; Zhou, Yang; Wang, Ruoyu; Qian, Zhengmin; Knibbs, Luke D.; Jalaludin, Bin; Schootman, Mario; McMillin, Stephen Edward; Howard, Steven W.; Lin, Li; Zhou, Peien; Hu, Li; Liu, Ru Qing; Yang, Bo; Chen, Gongbo; Zeng, Xiao Wen; Feng, Weiyue; Xiang, Ming; Dong, Guang‐Hui

doi:10.1016/j.envpol.2021.117582

Cited by 45 publications

(21 citation statements)

References 45 publications

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“…Asthma was the most frequently measured clinical outcomes and were reported by 38 studies. Four studies simultaneously assessed the association between greenness, ever asthma, and current asthma ( 35 , 48 , 58 , 67 ). One study used eosinophilic asthma as the outcome, defined as participants reporting asthma-related medication use and elevated eosinophil counts to at least 150 cells per μl ( 66 ).…”

Section: Resultsmentioning

confidence: 99%

Association between exposure to greenness and atopic march in children and adults—A systematic review and meta-analysis

Wang

Zhou²,

Zhi³

2023

Front. Public Health

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IntroductionAllergic diseases are a global public health problem. Food allergy, atopic dermatitis (AD), allergic rhinoconjunctivitis, allergic rhinitis (AR) and asthma represent the natural course of allergic diseases, also known as the “atopic march”. In recent years, a large number of studies have been published on the association between greenness exposure and allergic diseases. However, systematic reviews on the association between greenness exposure and multiple allergic diseases or atopic march are lacking.MethodsIn this study, PubMed, EMBASE, ISI Web of Science, and Scopus were systematically searched. Meta-analyses were performed if at least three studies reported risk estimates for the same outcome and exposure measures.ResultsOf 2355 records, 48 studies were included for qualitative review. Five birth cohort studies, five cross-sectional studies, and one case-control study were included for asthma meta-analysis, respectively. Four birth cohort studies were included for AR meta-analysis. Our results support that exposure to a greener environment at birth reduces the risk of asthma and AR in childhood. In addition, higher greenness exposure was associated with decreased odds of current asthma in children.DiscussionThere was a large heterogeneity among the included studies and most of them did not specify the vegetation type and causative allergens. Therefore the study results need to be further validated. In addition, a small number of studies evaluated the association between greenness and food allergy, AD and allergic rhinoconjunctivitis. More research is needed to strengthen our understanding of the association between greenness and allergic diseases.

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Section: Resultsmentioning

confidence: 99%

Association between exposure to greenness and atopic march in children and adults—A systematic review and meta-analysis

Wang

Zhou²,

Zhi³

2023

Front. Public Health

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“…RelU function is shown in formula (7). Compared with Sigmoid function and Tanh function, RelU function has certain advantages in solving gradient disappearance [10,11].…”

Section: Basic Methodsmentioning

confidence: 99%

“…(2) Normalization. Considering the difference of experimental data magnitude, they are normalized, and the specific function is expressed as Formula (10) [18]:…”

Section: Data Preprocessingmentioning

confidence: 99%

Research on Community Risk Prediction Model and Management Based on Deep Learning

Yin

2022

Wireless Communications and Mobile Computing

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The influencing factors of community risk are complex. For the low accuracy of traditional prediction model, a multichannel convolutional neural network community risk prediction model is proposed by improving convolutional neural network of deep learning. First of all, in the community risk prediction model, the structure of multichannel input convolutional neural network is selected. Then, add it into the full connection layer. Subsequently, the DenseNet layer is added to establish connections between different network layers. Finally, the receptive field is improved, and the gradient disappearance is solved. Thus, the prediction accuracy of model is improved. Compared with the traditional model, the proposed multichannel convolutional neural network model has better prediction accuracy. In addition, it performs better on the three indicators, namely, correlation coefficient R , coefficient of determination R 2 , and mean square root error RMSE. Compared with the commonly used LSTM model and logic regression model, the proposed model also has certain advantages, which is more suitable for community risk prediction.

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“…Positive relations between the presence of greenery and their beneficial role in ensuring children's health and well-being have been long investigated. Children who live near urban green areas have better lung capacity [21], while street trees have been proven to be beneficial for childhood asthma prevention [22]. Growing up in greener neighborhoods may also be beneficial for brain development and cognitive functions [23].…”

Section: Introductionmentioning

confidence: 99%

The Role of Trees in Winter Air Purification on Children’s Routes to School

Hoppa

Sikorska

Przybysz

et al. 2022

Forests

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Air pollution is now considered to be the world’s largest environmental health threat, accounting for millions of deaths globally each year. The social group that is particularly exposed to the harmful effects of air pollution is children. Their vulnerability results from higher breathing frequency and being subject to concentration peaks just above the ground. The negative effects of ambient particulate matter also depend on the time of exposure. A daily route to school can constitute an important component of children’s physical activity, but air pollution can pose a threat to their health. Numerous studies have proved that high loads of PM can be effectively reduced by vegetation. Little is known, however, on whether vegetation can also reduce PM during leaf dormancy. In this study we investigated the role of trees in air purification during the leafless period in children’s routes to selected schools located in Warsaw during winter. The results obtained show a weak impact of the tree canopy in winter.

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Associations between trees and grass presence with childhood asthma prevalence using deep learning image segmentation and a novel green view index

Cited by 45 publications

References 45 publications

Association between exposure to greenness and atopic march in children and adults—A systematic review and meta-analysis

Association between exposure to greenness and atopic march in children and adults—A systematic review and meta-analysis

Research on Community Risk Prediction Model and Management Based on Deep Learning

The Role of Trees in Winter Air Purification on Children’s Routes to School

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