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Time-series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, MS

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Abstract

In order to examine associations between asthma morbidity and local ambient air pollution in an area with relatively low levels of pollution, we conducted a time-series analysis of asthma hospital admissions and fine particulate matter pollution (PM2.5) in and around Jackson, MS, for the period 2003 to 2011. Daily patient-level records were obtained from the Mississippi State Department of Health (MSDH) Asthma Surveillance System. Patient geolocations were aggregated into a grid with 0.1° × 0.1° resolution within the Jackson Metropolitan Statistical Area. Daily PM2.5 concentrations were estimated via machine-learning algorithms with remotely sensed aerosol optical depth and other associated parameters as inputs. Controlling for long-term temporal trends and meteorology, we estimated a 7.2% (95% confidence interval 1.7–13.1%) increase in daily all-age asthma emergency room admissions per 10 μg/m3 increase in the 3-day average of PM2.5 levels (current day and two prior days). Stratified analyses reveal significant associations between asthma and 3-day average PM2.5 for males and blacks. Our results contribute to the current epidemiologic evidence on the association between acute ambient air pollution exposure and asthma morbidity, even in an area characterized by relatively good air quality.

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Acknowledgements

Collection of asthma hospital discharge data used in this research was supported by Cooperative Agreement Number 5U59EH000208 from the Centers for Disease Control and Prevention (CDC), National Center for Environmental Health, Air Pollution and Respiratory Health Branch.

The contents of the article are solely responsibility of the authors and do not necessarily represent the official views of the NIH, the CDC or the Mississippi State Department of Health.

Funding

Support for this research was provided by a grant from the National Institute of Environmental Health Sciences of the National Institutes of Health (NIH) under award number R21ES019713.

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Authors and Affiliations

  1. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA, 30322, USA

    Howard H. Chang, Anqi Pan & Lance A. Waller

  2. Hanson Center for Space Sciences, University of Texas at Dallas, 800 West Campbell Road Richardson, Dallas, TX, 75080, USA

    David J. Lary

  3. Office of Health Data and Research, Mississippi State Department of Health, 570 East Woodrow Wilson, Jackson, MS, 39216, USA

    Lei Zhang

  4. Office of Epidemiology, Mississippi State Department of Health, 570 East Woodrow Wilson, Jackson, MS, 39216, USA

    Bruce T. Brackin

  5. Department of Medicine, the University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA

    Richard W. Finley

  6. Department of Preventive Medicine, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA

    Fazlay S. Faruque

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  1. Howard H. Chang
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  2. Anqi Pan
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  3. David J. Lary
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  8. Fazlay S. Faruque
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Correspondence to Fazlay S. Faruque.

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Chang, H.H., Pan, A., Lary, D.J. et al. Time-series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, MS. Environ Monit Assess 191 (Suppl 2), 280 (2019). https://doi.org/10.1007/s10661-019-7421-4

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