Neighborhood Composition and Air Pollution in Chicago
Monitoring Inequities With a Dense, Low-Cost Sensing Network, 2021
Bibliographic Data
| ID | 11036168 |
|---|---|
| Authors | Precious Esie (0000-0002-8583-2513, At the time of the study, the authors were with Microsoft Research, Redmond, WA.), Madeleine I G Daepp (0000-0001-9689-2442, At the time of the study, the authors were with Microsoft Research, Redmond, WA.), Asta Roseway (0000-0001-5340-8518, At the time of the study, the authors were with Microsoft Research, Redmond, WA.), Scott Counts (0000-0003-1507-5200, At the time of the study, the authors were with Microsoft Research, Redmond, WA.) |
| Year | 2022 |
| Volume | 112 |
| Issue | 12 |
| Pages | 1765-1773 |
| Publication date | 2022-12-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.2022.307068 |
| PMID | 36383946 |
| OpenAlex | W4309318344 |
| Language | EN |
| Citations received | 5 |
| References cited | 22 |
Objectives. To evaluate the efficacy of a novel, real-time sensor network for routine monitoring of racial and economic disparities in fine particulate matter (PM 2.5 ; particulate matter ≤ 2.5 μm in diameter) exposures at the neighborhood level. Methods. We deployed a dense network of low-cost PM 2.5 sensors in Chicago, Illinois, to evaluate associations between neighborhood-level composition variables (percentage of Black residents, percentage of Hispanic/Latinx residents, and percentage of households below poverty) and interpolated PM 2.5 . Relationships were assessed in spatial lag models after adjustment for all composition variables. Models were fit with data both from the overall period and during high-pollution episodes associated with social events (July 4, 2021) and wildfires (July 23, 2021). Results. The spatial lag models showed that racial/ethnic composition variables were associated with higher PM 2.5 levels. Levels were notably higher in neighborhoods with larger compositions of Hispanic/Latinx residents across the entire study period and notably higher in neighborhoods with larger Black populations during the July 4 episode. Conclusions. As a complement to sparse regulatory networks, dense, low-cost sensor networks can capture spatial variations during short-term air pollution episodes and enable monitoring of neighborhood-level inequities in air pollution exposures in real time. (Am J Public Health. 2022;112(12):1765–1773. https://doi.org/10.2105/AJPH.2022.307068 )
Air pollution · Behavioral Risk Factor Surveillance System · Composition (language) · Economic growth · Economics · Effect modification · Environmental health · Ethnic group · Geography · Inequality · Particulates · Political science · Population · Poverty · Public health · Race (biology) · Racial composition · Sociology · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Ecology · Environmental Justice and Health Disparities · Environmental Science · Mathematics · Medicine · Gerontology
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| Citations per year | 1.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |