Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

The association between wildfire smoke exposure and asthma-specific medical care utilization in Oregon during the 2013 wildfire season

Abstract

Wildfire smoke (WFS) increases the risk of respiratory hospitalizations. We evaluated the association between WFS and asthma healthcare utilization (AHCU) during the 2013 wildfire season in Oregon. WFS particulate matter ≤ 2.5 μm in diameter (PM2.5) was estimated using a blended model of in situ monitoring, chemical transport models, and satellite-based data. Asthma claims and place of service were identified from Oregon All Payer All Claims data from 1 May 2013 to 30 September 2013. The association with WFS PM2.5 was evaluated using time-stratified case-crossover designs. The maximum WFS PM2.5 concentration during the study period was 172 µg/m3. A 10 µg/m3 increase in WFS increased risk in asthma diagnosis at emergency departments (odds ratio [OR]: 1.089, 95% confidence interval [CI]: 1.043–1.136), office visit (OR: 1.050, 95% CI: 1.038–1.063), and outpatient visits (OR: 1.065, 95% CI: 1.029–1.103); an association was observed with asthma rescue inhaler medication fills (OR: 1.077, 95% CI: 1.065–1.088). WFS increased the risk for asthma morbidity during the 2013 wildfire season in Oregon. Communities impacted by WFS could see increases in AHCU for tertiary, secondary, and primary care.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Number of smoke-impacted days where WFS PM2.5 > 15 µg/m3 in Oregon State counties from 1 May 2013 to 30 September 2013.
Fig. 2: Same-day association between a 10 μg/m3 increase in WFS PM2.5 and risk for AHCU event by strata, adjusting for temperature.
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Colarco PR, Schoeberl MR, Doddridge BG, Marufu LT, Torres O, Welton EJ. Transport of smoke from Canadian forest fires to the surface near Washington, D.C.: injection height, entrainment, and optical properties. J Geophys Res Atmos. 2004;109:D06203. https://doi.org/10.1029/2003JD004248.

  2. DeBell LJ. A major regional air pollution event in the northeastern United States caused by extensive forest fires in Quebec, Canada. J Geophys Res. 2004;109. https://doi.org/10.1029/2004JD004840.

  3. Val Martin M, Heald CL, Lamarque J-F, Tilmes S, Emmons LK, Schichtel BA. How emissions, climate, and land use change will impact mid-century air quality over the United States: a focus on effects at national parks. Atmos Chem Phys. 2015;15:2805–23.

    Article  CAS  Google Scholar 

  4. Liu JC, Mickley LJ, Sulprizio MP, Dominici F, Yue X, Ebisu K, et al. Particulate air pollution from wildfires in the Western US under climate change. Clim Change. 2016;138:655–66.

    Article  CAS  Google Scholar 

  5. McClure CD, Jaffe DA. US particulate matter air quality improves except in wildfire-prone areas. Proc Natl Acad Sci USA. 2018;115:7901–6.

    Article  CAS  Google Scholar 

  6. Ford B, Val Martin M, Zelasky SE, Fischer EV, Anenberg SC, Heald CL, et al. Future fire impacts on smoke concentrations, visibility, and health in the contiguous United States. GeoHealth. 2018. https://doi.org/10.1029/2018GH000144.

  7. Langmann B, Duncan B, Textor C, Trentmann J, van der Werf GR. Vegetation fire emissions and their impact on air pollution and climate. Atmos Environ. 2009;43:107–16.

    Article  CAS  Google Scholar 

  8. Turetsky MR, Kane ES, Harden JW, Ottmar RD, Manies KL, Hoy E, et al. Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands. Nat Geosci. 2011;4:27–31.

    Article  CAS  Google Scholar 

  9. Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW. Warming and earlier spring increase western U.S. forest wildfire activity. Science. 2006;313:940–3.

    Article  CAS  Google Scholar 

  10. U.S. Environmental Protection Agency. The 2014 National Emissions Inventory. U.S. Environmental Protection Agency, North Carolina: Research Triangle Park; 2014.

  11. Liu JC, Pereira G, Uhl SA, Bravo MA, Bell ML. A systematic review of the physical health impacts from non-occupational exposure to wildfire smoke. Environ Res. 2015;136:120–32.

    Article  CAS  Google Scholar 

  12. Liu JC, Wilson A, Mickley LJ, Dominici F, Ebisu K, Wang Y. et al. Wildfire-specific fine particulate matter and risk of hospital admission in urban rural counties. Epidemiology. 2017;28:77–85.

    Article  Google Scholar 

  13. Liu JC, Wilson A, Mickley LJ, Ebisu K, Sulprizio MP, Wang Y, et al. Who among the elderly is most vulnerable to exposure and health risks of PM2.5 from wildfire smoke? Am J Epidemiol. 2017. https://academic.oup.com/aje/article-lookup/doi/doi/10.1093/aje/kwx141.

  14. Reid CE, Brauer M, Johnston FH, Jerrett M, Balmes JR, Elliott CT. Critical review of health impacts of wildfire smoke exposure. Environ Health Perspect. 2016. http://ehp.niehs.nih.gov/14-09277.

  15. Johnston FH, Kavanagh AM, Bowman DMJS, Scott RK. Exposure to bushfire smoke and asthma: an ecological study. Med J Aust. 2002;176:535–8.

    Article  Google Scholar 

  16. Rappold AG, Cascio WE, Kilaru VJ, Stone SL, Neas LM, Devlin RB, et al. Cardio-respiratory outcomes associated with exposure to wildfire smoke are modified by measures of community health. Environ Health. 2012;11. http://ehjournal.biomedcentral.com/articles/10.1186/1476-069X-11-71.

  17. Gan RW, Ford B, Lassman W, Pfister G, Vaidyanathan A, Fischer E, et al. Comparison of wildfire smoke estimation methods and associations with cardiopulmonary-related hospital admissions: estimates of smoke and health outcomes. GeoHealth. 2017;1:122–36.

    Article  Google Scholar 

  18. Martin KL, Hanigan IC, Morgan GG, Henderson SB, Johnston FH. Air pollution from bushfires and their association with hospital admissions in Sydney, Newcastle and Wollongong, Australia 1994-2007. Aust N Z J Public Health. 2013;37:238–43.

    Article  Google Scholar 

  19. Elliott CT, Henderson SB, Wan V. Time series analysis of fine particulate matter and asthma reliever dispensations in populations affected by forest fires. Environ Health. 2013;12. http://ehjournal.biomedcentral.com/articles/10.1186/1476-069X-12-11.

  20. Johnston FH, Webby RJ, Pilotto LS, Bailie RS, Parry DL, Halpin SJ. Vegetation fires, particulate air pollution and asthma: a panel study in the Australian monsoon tropics. Int J Environ Health Res. 2006;16:391–404.

    Article  CAS  Google Scholar 

  21. Künzli N, Avol E, Wu J, Gauderman WJ, Rappaport E, Millstein J, et al. Health effects of the 2003 Southern California wildfires on children. Am J Respir Crit Care Med. 2006;174:1221–8.

    Article  Google Scholar 

  22. Mirabelli MC, Künzli N, Avol E, Gilliland FD, Gauderman WJ, McConnell R, et al. Respiratory symptoms following wildfire smoke exposure: airway size as a susceptibility factor. Epidemiology. 2009;20:451–9.

    Article  Google Scholar 

  23. Jacobson L, da SV, Hacon S, de S, Castro HA, de, Ignotti E, et al. Association between fine particulate matter and the peak expiratory flow of schoolchildren in the Brazilian subequatorial Amazon: a panel study. Environ Res. 2012;117:27–35.

    Article  CAS  Google Scholar 

  24. Jacobson L, da SV, Hacon S, de S, Castro HA, de, Ignotti E, et al. Acute effects of particulate matter and black carbon from seasonal fires on peak expiratory flow of schoolchildren in the Brazilian Amazon. PLoS ONE. 2014;9:e104177.

    Article  Google Scholar 

  25. U.S. Environmental Protection Agency. Benefits mapping and analysis program (BenMAP). U.S. Environmental Protection Agency; 2018. https://www.epa.gov/benmap/how-benmap-ce-estimates-health-and-economic-effects-air-pollution.

  26. Oregon Department of Forestry Southwest Oregon District. (2013, August 19). Douglas complex fire update (8/19/13). https://swofire.com/2013/08/19/douglas-complex-fire-update-8-19-13/.

  27. Lassman W, Ford B, Gan RW, Pfister G, Magzamen S, Fischer EV, et al. Spatial and temporal estimates of population exposure to wildfire smoke during the Washington State 2012 Wildfire Season using blended model, satellite, and in-situ data: mult-method estimates of smoke exposure. GeoHealth. 2017. http://doi.wiley.com/10.1002/2017GH000049.

  28. Sayer AM, Munchak LA, Hsu NC, Levy RC, Bettenhausen C, Jeong M-J. MODIS collection 6 aerosol products: comparison between Aqua’s e-Deep Blue, Dark Target, and “merged” data sets, and usage recommendations. J Geophys Res Atmos. 2014;119:13,965–89.

    Article  CAS  Google Scholar 

  29. Grell GA, Peckham SE, Schmitz R, McKeen SA, Frost G, Skamarock WC, et al. Fully coupled “online” chemistry within the WRF model. Atmos Environ. 2005;39:6957–75.

    Article  CAS  Google Scholar 

  30. Rolph GD, Draxler RR, Stein AF, Taylor A, Ruminski MG, Kondragunta S, et al. Description and verification of the NOAA smoke forecasting system: the 2007 fire season. Weather Forecast. 2009;24:361–78.

    Article  Google Scholar 

  31. Ruminski MG, Kondragunta S, Draxler RR, Zeng J. Recent Changes to the Hazard Mapping System. In: Proceedings of the 15th International Emission Inventory Conference, 15–18 May 2006. New Orleans, LA. http://www.epa.gov/ttn/chief/conference/ei15/session10/ruminiski.pdf.

  32. Center for International Earth Science Information Network - CIESIN - Columbia University. Gridded Population of the World, version 4 (GPWv4): population density, revision 10. NASA Socioeconomic Data and Applications Center (SEDAC); 2017. https://doi.org/10.7927/H4DZ068D.

  33. Lougheed MD, Lemiere C, Ducharme FM, Licskai C, Dell SD, Rowe BH, et al. Canadian Thoracic Society 2012 guideline update: diagnosis and management of asthma in preschoolers, children and adults. Can Respir J. 2012;19:127–64.

    Article  Google Scholar 

  34. National Committee for Quality Assurance. HEDIS 2014 final NDC lists. National Committee for Quality Assurance; 2014. http://www.ncqa.org/hedis-quality-measurement/hedis-measures/hedis-2014/hedis-2014-final-ndc-lists.

  35. Janes H, Sheppard L, Lumley T. Case-crossover analyses of air pollution exposure data: referent selection strategies and their implications for bias. Epidemiology. 2005;16:717–26.

    Article  Google Scholar 

  36. Janes H, Sheppard L, Lumley T. Overlap bias in the case-crossover design, with application to air pollution exposures. Stat Med. 2005;24:285–300.

    Article  Google Scholar 

  37. U.S. Census Bureau. Metropolitan and micropolitan statistical areas totals: 2010-2016. U.S. Census Bureau; 2016. https://www.census.gov/data/tables/2016/demo/popest/total-metro-and-micro-statistical-areas.html.

  38. R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016. http://www.R-project.org/.

  39. Wickham H. tidyverse: easily install and load the “Tidyverse”. 2017. https://CRAN.R-project.org/package=tidyverse.

  40. Therneau MT. A package for survival analysis in S. 2015. https://CRAN.R-project.org/package=survival.

  41. O’Malley KJ, Cook KF, Price MD, Wildes KR, Hurdle JF, Ashton CM. Measuring diagnoses: ICD code accuracy. Health Serv Res. 2005;40:1620–39.

    Article  Google Scholar 

Download references

Acknowledgements

Funding for this study was provided by the National Aeronautics and Space Administration grant number NNX15AF35G and the A.J. Kauvar Foundation. The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sheryl Magzamen.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gan, R.W., Liu, J., Ford, B. et al. The association between wildfire smoke exposure and asthma-specific medical care utilization in Oregon during the 2013 wildfire season. J Expo Sci Environ Epidemiol 30, 618–628 (2020). https://doi.org/10.1038/s41370-020-0210-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41370-020-0210-x

Keywords

Search

Quick links