Marginal Asthma Prevalence from NO<sub><i>x</i></sub> Emissions (MANE): A Model to Predict Pediatric Asthma Burden from Emissions of Nitrogen Oxides

Pediatric asthma affects roughly 1 in 15 children in the U.S., with significantly higher rates in Black children. Exposure to NO<sub>2</sub> contributes to asthma development, but quantitative analysis of pediatric asthma burden attributable to NO<sub><i>x</i></sub> emissions is rarely performed due to a lack of suitable models. This paper describes a new model, Marginal Asthma prevalence from NO<sub><i>x</i></sub> Emissions (MANE), which assesses the pediatric asthma burden from NO<sub><i>x</i></sub> emissions and its distribution across race/ethnicities. We find that emissions in more densely populated areas cause a larger number of pediatric asthma cases and tend to disproportionately impact minority communities. We applied our model to assess the pediatric asthma burden from sources of NO<sub><i>x</i></sub>, finding that diesel heavy-duty vehicles are responsible for approximately 4% of all pediatric asthma cases in the U.S. Additionally, we find that all source sectors considered disproportionately impact children of color, with 65-100% higher per-capita asthma rates in Black children compared to white non-Hispanic children. Finally, we find that emissions in a limited number of urban areas are responsible for a large share of asthma cases, suggesting that local, targeted restrictions on NO<sub><i>x</i></sub> emissions may provide great public health benefit nationally.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-05-19
DOI
https://doi.org/10.1021/acs.est.4c09012
Citations
1
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20
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article

Marginal Asthma Prevalence from NOx Emissions (MANE): A Model to Predict Pediatric Asthma Burden from Emissions of Nitrogen Oxides

Brian M. Gentry, Allen L. Robinson, P. J. Adams
1 citations
Environmental Science & Technology
Air Quality and Health Impacts
1.20
article

Marginal Asthma Prevalence from NOx Emissions (MANE): A Model to Predict Pediatric Asthma Burden from Emissions of Nitrogen Oxides

Brian M. Gentry, Allen L. Robinson, P. J. Adams
article en
1 citations

Abstract

Pediatric asthma affects roughly 1 in 15 children in the U.S., with significantly higher rates in Black children. Exposure to NO<sub>2</sub> contributes to asthma development, but quantitative analysis of pediatric asthma burden attributable to NO<sub><i>x</i></sub> emissions is rarely performed due to a lack of suitable models. This paper describes a new model, Marginal Asthma prevalence from NO<sub><i>x</i></sub> Emissions (MANE), which assesses the pediatric asthma burden from NO<sub><i>x</i></sub> emissions and its distribution across race/ethnicities. We find that emissions in more densely populated areas cause a larger number of pediatric asthma cases and tend to disproportionately impact minority communities. We applied our model to assess the pediatric asthma burden from sources of NO<sub><i>x</i></sub>, finding that diesel heavy-duty vehicles are responsible for approximately 4% of all pediatric asthma cases in the U.S. Additionally, we find that all source sectors considered disproportionately impact children of color, with 65-100% higher per-capita asthma rates in Black children compared to white non-Hispanic children. Finally, we find that emissions in a limited number of urban areas are responsible for a large share of asthma cases, suggesting that local, targeted restrictions on NO<sub><i>x</i></sub> emissions may provide great public health benefit nationally.

Environmental Science & TechnologyVol. 59(21)
Carnegie Mellon University (US), Colorado State University (US)
Openalex Percentile: Top 23%
Air Quality and Health Impacts
1.20
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Marginal Asthma Prevalence from NO<sub><i>x</i></sub> Emissions (MANE): A Model to Predict Pediatric Asthma Burden from Emissions of Nitrogen Oxides — Brian M. Gentry, Allen L. Robinson, et al. · Environmental Science & Technology (2025) | TGRS Research Map | TGRS