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Sensitivity of estimated NO 2 -attributable pediatric asthma incidence to grid resolution and urbanicity

Bibliographic Data

ID15549159
AuthorsArash Mohegh (0000-0001-9434-8996, Milken Institute), Daniel L Goldberg (0000-0003-0784-3986, Milken Institute), Ploy Achakulwisut (0000-0001-8724-5411, Stockholm Environment Institute), Susan C Anenberg (0000-0002-9668-603X, Milken Institute, corresponding author)
Year2020
Volume16
Issue1
Pages014019-014019
Publication date2020-11-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abce25
OpenAlexW3110595828
LanguageEN
Citations received1
References cited27

Nitrogen dioxide (NO 2 ) is a major urban air pollutant and is associated with new onset asthma among children worldwide. Since NO 2 concentrations are spatially heterogeneous and correlated with population, the spatial resolution of concentration estimates and disease burden calculations could strongly influence the magnitude and spatial distribution of estimated NO 2 -attributable pediatric asthma (PA) cases. Here, we investigate the effect of spatial resolution of exposure and population data on estimated NO 2 attributable PA incidence. We use epidemiologically derived health impact functions to estimate NO 2 -attributable asthma incidence for the U.S. and India, two countries with different degrees of urbanicity, using population and NO 2 concentration estimates at 100 m resolution and aggregated to coarser spatial resolutions: 500 m, 1 km, 10 km, and 100 km. Estimated NO 2 -attributable PA burdens differ by <1% for resolutions of 100 m up to 1 km for both countries. However, performing the analysis at 10 km and 100 km results in 5% and 17% fewer new asthma cases among children in India and 6% and 32% fewer in the U.S., respectively. We performed a similar analysis for the 13 000 urban areas and present the results for the 500 most populated cities at 1 km and 10 km resolution, finding that the coarser resolution leads to lower estimated NO 2 -attributable asthma incidence in nearly all cities, especially for cities with smaller land areas. We conclude that 1 km spatial resolution is a good balance between accuracy and computational efficiency in estimating NO 2 -attributable asthma burdens at national and urban levels, and that coarser resolutions may result in underestimates

Asthma · Atmospheric sciences · Disease burden · Environmental health · Geography · Incidence (geometry · Physics · Population · Air Quality and Health Impacts · Climate Change and Health Impacts · Environmental Science · Mathematics · Medicine · Noise Effects and Management

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Unique citing works1
Citations per year0,2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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