Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland
The fine particulate matter baseline (PMB), which includes PM<sub>2.5</sub> monitor readings <i>fused</i> with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/2/209 |
| _version_ | 1818588831959482368 |
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| author | John T. Braggio Eric S. Hall Stephanie A. Weber Amy K. Huff |
| author_facet | John T. Braggio Eric S. Hall Stephanie A. Weber Amy K. Huff |
| author_sort | John T. Braggio |
| collection | DOAJ |
| description | The fine particulate matter baseline (PMB), which includes PM<sub>2.5</sub> monitor readings <i>fused</i> with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address this issue, an upgraded HBM was used to form four experimental aerosol optical depth (AOD)-PM<sub>2.5</sub> concentration surfaces. A case-crossover design and conditional logistic regression evaluated the contribution of the AOD-PM<sub>2.5</sub> surfaces and PMB to four respiratory-cardiovascular hospital events in all 99 12 km<sup>2</sup> CMAQ grids, and in grids with and without ambient air monitors. For all four health outcomes, only two AOD-PM<sub>2.5</sub> surfaces, one not kriged (PMC) and the other kriged (PMCK), had significantly higher Odds Ratios (ORs) on lag days 0, 1, and 01 than PMB in all grids, and in grids without monitors. In grids with monitors, emergency department (ED) asthma PMCK on lag days 0, 1 and 01 and inpatient (IP) heart failure (HF) PMCK ORs on lag days 01 were significantly higher than PMB ORs. Warm season ORs were significantly higher than cold season ORs. Independent confirmation of these results should include AOD-PM<sub>2.5</sub> concentration surfaces with greater temporal-spatial resolution, now easily available from geostationary satellites, such as GOES-16 and GOES-17. |
| first_indexed | 2024-12-16T09:31:01Z |
| format | Article |
| id | doaj.art-4fab4f604a3f47fcabb455930d928eaa |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-12-16T09:31:01Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-4fab4f604a3f47fcabb455930d928eaa2022-12-21T22:36:32ZengMDPI AGAtmosphere2073-44332020-02-0111220910.3390/atmos11020209atmos11020209Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, MarylandJohn T. Braggio0Eric S. Hall1Stephanie A. Weber2Amy K. Huff3Mt. Diablo Analytical Solutions and Reporting Institute, Walnut Creek, CA 94595, USAU.S. Environmental Protection Agency (EPA), Research Triangle Park, NC 27709, USABattelle Memorial Institute, Columbus, OH 43201, USAI. M. Systems Group, 5825 University Research Ct, Suite 3250, College Park, MD 20740, USAThe fine particulate matter baseline (PMB), which includes PM<sub>2.5</sub> monitor readings <i>fused</i> with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address this issue, an upgraded HBM was used to form four experimental aerosol optical depth (AOD)-PM<sub>2.5</sub> concentration surfaces. A case-crossover design and conditional logistic regression evaluated the contribution of the AOD-PM<sub>2.5</sub> surfaces and PMB to four respiratory-cardiovascular hospital events in all 99 12 km<sup>2</sup> CMAQ grids, and in grids with and without ambient air monitors. For all four health outcomes, only two AOD-PM<sub>2.5</sub> surfaces, one not kriged (PMC) and the other kriged (PMCK), had significantly higher Odds Ratios (ORs) on lag days 0, 1, and 01 than PMB in all grids, and in grids without monitors. In grids with monitors, emergency department (ED) asthma PMCK on lag days 0, 1 and 01 and inpatient (IP) heart failure (HF) PMCK ORs on lag days 01 were significantly higher than PMB ORs. Warm season ORs were significantly higher than cold season ORs. Independent confirmation of these results should include AOD-PM<sub>2.5</sub> concentration surfaces with greater temporal-spatial resolution, now easily available from geostationary satellites, such as GOES-16 and GOES-17.https://www.mdpi.com/2073-4433/11/2/209pm<sub>2.5</sub>aod-pm<sub>2.5</sub>cmaqcase-crossoverip hospitalizationsed visits: asthmamyocardial infarctionheart failureseason |
| spellingShingle | John T. Braggio Eric S. Hall Stephanie A. Weber Amy K. Huff Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland Atmosphere pm<sub>2.5</sub> aod-pm<sub>2.5</sub> cmaq case-crossover ip hospitalizations ed visits: asthma myocardial infarction heart failure season |
| title | Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland |
| title_full | Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland |
| title_fullStr | Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland |
| title_full_unstemmed | Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland |
| title_short | Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland |
| title_sort | contribution of satellite derived aerosol optical depth pm sub 2 5 sub bayesian concentration surfaces to respiratory cardiovascular chronic disease hospitalizations in baltimore maryland |
| topic | pm<sub>2.5</sub> aod-pm<sub>2.5</sub> cmaq case-crossover ip hospitalizations ed visits: asthma myocardial infarction heart failure season |
| url | https://www.mdpi.com/2073-4433/11/2/209 |
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