Sensitivity of estimated NO2-attributable pediatric asthma incidence to grid resolution and urbanicity
Autor: | Daniel L. Goldberg, Pattanun Achakulwisut, Susan C. Anenberg, Arash Mohegh |
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Rok vydání: | 2020 |
Předmět: |
education.field_of_study
010504 meteorology & atmospheric sciences Renewable Energy Sustainability and the Environment Incidence (epidemiology) Population Public Health Environmental and Occupational Health 010501 environmental sciences medicine.disease Spatial distribution 01 natural sciences New onset Geography Environmental health medicine Population data education Disease burden Pediatric asthma 0105 earth and related environmental sciences General Environmental Science Asthma |
Zdroj: | Environmental Research Letters. 16:014019 |
ISSN: | 1748-9326 |
DOI: | 10.1088/1748-9326/abce25 |
Popis: | Nitrogen dioxide (NO2) is a major urban air pollutant and is associated with new onset asthma among children worldwide. Since NO2 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 NO2-attributable pediatric asthma (PA) cases. Here, we investigate the effect of spatial resolution of exposure and population data on estimated NO2 attributable PA incidence. We use epidemiologically derived health impact functions to estimate NO2-attributable asthma incidence for the U.S. and India, two countries with different degrees of urbanicity, using population and NO2 concentration estimates at 100 m resolution and aggregated to coarser spatial resolutions: 500 m, 1 km, 10 km, and 100 km. Estimated NO2-attributable PA burdens differ by 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 NO2-attributable asthma burdens at national and urban levels, and that coarser resolutions may result in underestimates. |
Databáze: | OpenAIRE |
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