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Uncertainty in Maternal Exposures to Ambient PM2.5 and Benzene during Pregnancy: Sensitivity to Exposure Estimation Decisions
Spatial and Spatio-temporal Epidemiology
  • Jean Paul Tanner, University of South Florida
  • Jason Lee Salemi, University of South Florida
  • Amy L. Stuart, University of South Florida
  • Haofei Yu, University of South Florida
  • Melissa M. Jordan, Florida Department of Health
  • Chris DuClos, Florida Department of Health
  • Philip Cavicchia, Florida Department of Health
  • Jane A. Correia, Florida Department of Health
  • Sharon M. Watkins, Florida Department of Health
  • Russell S. Kirby, University of South Florida
Document Type
Publication Date
  • Air pollution,
  • Birth defects,
  • Benzene,
  • Particles
Digital Object Identifier (DOI)

We investigate uncertainty in estimates of pregnant women's exposure to ambient PM2.5 and benzene derived from central-site monitoring data. Through a study of live births in Florida during 2000–2009, we discuss the selection of spatial and temporal scales of analysis, limiting distances, and aggregation method. We estimate exposure concentrations and classify exposure for a range of alternatives, and compare impacts. Estimated exposure concentrations were most sensitive to the temporal scale of analysis for PM2.5, with similar sensitivity to spatial scale for benzene. Using 1–12 versus 3–8 weeks of gestational age as the exposure window resulted in reclassification of exposure by at least one quartile for up to 37% of mothers for PM2.5 and 27% for benzene. The largest mean absolute differences in concentration resulting from any decision were 0.78 µg/m3 and 0.44 ppbC, respectively. No bias toward systematically higher or lower estimates was found between choices for any decision.

Citation / Publisher Attribution

Spatial and Spatio-temporal Epidemiology, v. 17, p. 117-129

Citation Information
Jean Paul Tanner, Jason Lee Salemi, Amy L. Stuart, Haofei Yu, et al.. "Uncertainty in Maternal Exposures to Ambient PM2.5 and Benzene during Pregnancy: Sensitivity to Exposure Estimation Decisions" Spatial and Spatio-temporal Epidemiology Vol. 17 (2016) p. 117 - 129
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