SCAPE Publications

2016

  1. In press/accepted:
    1. Flanders WD, Strickland MJ,  Klein M. A new method for partial correction of residual confounding in time-series and other observational studies. American Journal of Epidemiology, accepted.
    2. Keller J, Chang H, Stricland M, Szpiro A. Measurement error correction for predicted spatiotemporal air pollution exposures. Epidemiology, in press. 
  2. Alhanti BA, Chang HH, Winquist A, Mulholland J, Darrow L, Sarnat SE. Ambient air pollution and emergency department visits for asthma: a multi-city assessment of effect modification by age. Journal of Exposure Science and Environmental Epidemiology 26:180-188, 2016.
  3. Fang T, Verma V, Bates JT, Abrams J, Klein M, Strickland MJ, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG, Weber RJ. Oxidative potential of ambient water-soluble PM2.5 in the southeastern United States: contrasts in sources and health associations between and ascorbic acid (AA) and dithiothreitol (DTT) assays. Atmospheric Chemistry and Physics16:3865-3879, 2016.
  4. Flanders WD, Klein M, Mirabelli MC. Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies. Annals of Epidemiology 26(6): 389-394, 2016.
  5. Friberg M, Zhai X, Holmes H, Chang H, Strickland M, Sarnat S, Tolbert P, Russell A, Mulholland J. Method for fusing observational data and chemical transport model simulations to estimate spatiotemporally-resolved ambient air pollution. Environmental Science & Technology 50:3695-3705, 2016.
  6. Hao H, Chang HH, Holmes HA, Mulholland JA, Klein M, Darrow LA, Strickland MJ. Air pollution and preterm birth in the U.S. State of Georgia (2002–2006): Associations with concentrations of 11 ambient air pollutants estimated by combining Community Multiscale Air Quality Model (CMAQ) simulations with stationary monitor measurements. Environmental Health Perspectives 124(6): 875-880, 2016.
  7. Heidari L, Winquist A, Klein M, O’Lenick C, Grundstein A, Sarnat SE. Susceptibility to heat-related fluid and electrolyte imbalance emergency department visits in Atlanta, Georgia, USA. International Journal of Environmental Research and Public Health 13: 982, 2016.
  8. Ivey CE, Holmes HA, Hu YT, Mulholland JA, and Russell AG. A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter. Frontiers of Environmental Science & Engineering 10:14, 2016.
  9. Krall JR, Mulholland JA, Russell AG, Balachandran S, Winquist A, Tolbert PE, Waller LA, Sarnat SE. Associations between source-apportioned particulate matter and emergency department visits for respiratory disease in four US cities. Environmental Health Perspectives DOI:10.1289/EHP271.
  10. Ma Z, Hu X, Sayer A, Levy R, Zhang Q, Xue Y, Tong S, Bi J, Huang L, Liu Y. 2014. Satellite-based spatiotemporal trends in PM2.5 concentrations: China, 2004 - 2013. Environmental Health Perspectives124(2): 184-192, 2016.
  11. O’Lenick C, Winquist A, Mulholland JA, Friberg M, Chang HH, Kramer M, Darrow LA, Sarnat SE. Assessment of neighborhood-level socioeconomic status as a modifier of air pollution-asthma associations among children in Atlanta. Journal of Epidemiology and Community Health, DOI:10.1136/jech-2015-206530.
  12. Pearce JL, Waller LA, Sarnat SE, Chang HH, Klein M, Mulholland JA, Tolbert PE.  Characterizing the spatial distribution of multiple pollutants and populations at risk in Atlanta, Georgia. Spatial and Spatio-temporal Epidemiology 18:13-23, 2016.
  13. Pennington AF, Strickland MJ, Freedle KA, Klein M, Drews-Botsch C, Hansen C, Darrow LA. Evaluating early-life asthma definitions as a marker for subsequent asthma in an electronic medical record setting. Pediatric Allergy and Immunology 27(6):591-6, 2016.
  14. Pennington AF, Strickland MJ, Klein M, Zhai X, Russell AG, Hansen C, Darrow LA. Measurement error in mobile source air pollution exposure estimates due to residential mobility during pregnancy. Journal of Exposure Science and Environmental Epidemiology, doi: 10.1038/jes.2016.66.
  15. Redman JD, Holmes HA, Balachandran S, Maier ML, Zhai X, Ivey CE, Digby K, Mulholland JA, and Russell AG. Development and Evaluation of a Daily Temporal Interpolation Model for Fine Particulate Matter Species Concentrations and Source Apportionment. Atmospheric Environment 140: 529-538, 2016.
  16. Sarnat SE, Chang HH, Weber RJ. Ambient PM2.5 and health: Does PM2.5 oxidative potential play a role? American Journal of Respiratory and Critical Care Medicine 194(5):530-1, 2016.
  17. Strickland MJ, Hao H, Hu X, Chang HH, Darrow LA, Liu Y. Pediatric emergency visits and short-term changes in PM2.5 concentrations in the U.S. State of Georgia. Environmental Health Perspectives 124(5): 690-696, 2016.
  18. Weber RJ, Guo H, Russell AG, Nenes A. High aerosol acidity despite declining atmospheric sulfate concentrations over the past 15 years. Nature Geoscience 9:282-285, 2016.
  19. Winquist A, Grundstein A, Chang HH, Hess J, Sarnat SE. Warm season temperatures and emergency department visits in Atlanta, Georgia. Environmental Research 147:314-323, 2016.
  20. Xiao Q, Liu Y, Mulholland JA, Russell AG, Darrow LA, Tolbert PE, Strickland MJ. Pediatric emergency department visits and ambient air pollution in the U.S. state of Georgia: a case-crossover study. Environmental Health 15:115, 2016.
  21. Ye D, Klein M, Chang HH, Sarnat JA, Mulholland JA, Edgerton ES, Winquist A, Tolbert PE, Sarnat SE. Estimating acute cardiorespiratory effects of ambient volatile organic compounds. Epidemiology doi:10.1097/EDE.0000000000000607.
  22. Zhai X, Russell A, Sampath P, Mulholland JA, Kim B, Kim Y, D’Onofrio D. Calibrating R-LINE model results with observational data to develop annual mobile source air pollutant fields at fine spatial resolution: Application in Atlanta. Atmospheric Environment 147:446-457, 2016.

2015

  1. Bates JT, Weber RJ, Abrams J, Verma V, Fang T, Klein M, Strickland MJ, Sarnat SE, Chang HH, Mulholland JA, Tolbert PE, Russell AG. Reactive oxygen species generation linked to sources of atmospheric particulate matter and cardiorespiratory effects. Environmental Science & Technology 49(22):13605-12, 2015.
  2. Bergin MH, Tripathi SN, Jai Devi J, Gupta T, Mckenzie M, Rana KS, Shafer MM, Villalobos AM, Schauer JJ. The discoloration of the Taj Mahal due to particulate carbon and dust deposition. Environmental Science & Technology 49(2):808-812, 2015.
  3. Boyd CM, Sanchez J, Xu L, Eugene AJ, Nah T, Tuet WY, Guzman MI, Ng NL. Secondary organic aerosol (SOA) formation from the β-pinene + NO3 system: effect of humidity and peroxy radical fate. Atmospheric Chemistry and Physics 15:7497-7522, 2015.
  4. Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA. Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study. Biostatistics 16:509-521, 2015.
  5. Fang T, Guo H, Verma V, Peltier RE, Weber RJ. PM2.5 water-soluble elements in the southeastern United States: automated analytical method development, spatiotemporal distributions, source apportionment, and implications for health studies. Atmospheric Chemistry and Physics 15:11667-11682, 2015.
  6. Fang T, Verma V, Guo H, King LE, Edgerton ES, Weber RJ. A semi-automated system for quantifying the oxidative potential of ambient particles in aqueous extracts using the dithiothreitol (DTT) assay: results from the Southeastern Center for Air Pollution and Epidemiology (SCAPE). Atmospheric Measurement Techniques 8:471-82, 2015.
  7. Flanders WD, Klein M. A general, multivariate definition of causal effects in epidemiology. Epidemiology 26(6): 481-489, 2015.
  8. Flanders WD, Klein M.  Rejoinder. Epidemiology 26(6): 496-497, 2015
  9. Gass KM, Balachandran S, Chang HH, Russell AG, Strickland MJ. Ensemble-based source apportionment of fine particulate matter and emergency department visits for pediatric asthma. American Journal of Epidemiology 181:504-512, 2015.
  10. Gass K, Klein M, Sarnat SE, Winquist A, Darrow LA, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Strickland MJ. Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach. Environmental Health 14:58, 2015.
  11. Guo H, Xu L, Bougiatioti A, Cerully KM, Capps SL, Hite JR, Carlton AG, Lee S-H, Bergin MH, Ng NL, Nenes A, Weber RJ. Fine-particle water and pH in the southeastern United States. Atmospheric Chemistry and Physics 15:5211–5228, 2015.
  12. Henneman L, Holmes HA, Mulholland JA, Russell AG. Meteorological detrending of primary and secondary pollutant concentrations: method application and evaluation using long-term (2000-2012) data in Atlanta. Atmospheric Environment 119:201-210, 2016.
  13. Hu Y, Odman MT, Chang ME, Russell AG. Operational forecasting of source impacts for dynamic air quality management. Atmospheric Environment 116:320-322, 2015.
  14. Ivey CE, Holmes HA, Hu YT, Mulholland JA, Russell AG. Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geoscientific Model Development 8:2153-2165, 2015.
  15. Krall JR, Chang HH, Sarnat SE, Peng RD, Waller LA. Current methods and challenges for epidemiological studies of the associations between chemical constituents of particulate matter and health. Current Environmental Health Reports 2:388-398, 2015.
  16. Mirabelli MC, Golan R, Greenwald R, Raysoni AU, Holguin F, Kewada P, Winquist A, Flanders WD, Sarnat JA. Modification of traffic-related respiratory response by asthma control in a population of car commuters. Epidemiology 26(4):546-555, 2015.
  17. Pearce JL, Waller LA, Mulholland JA, Sarnat SE, Strickland MJ, Chang HH, Tolbert PE. Exploring associations between multipollutant day types and asthma morbidity: epidemiologic applications of self-organizing map ambient air quality classifications. Environmental Health 14:55, 2015.
  18. Sarnat SE, Winquist A, Schauer JJ, Turner JA, Sarnat JA. Fine particulate matter components and emergency department visits for cardiovascular and respiratory diseases in St. Louis, Missouri-Illinois, metropolitan area. Environmental Health Perspectives123:437-444, 2015
  19. Strickland MJ, Gass KM, Goldman GT, Mulholland JA. Effects of ambient air pollution measurement error on health effect estimates in time series studies: a simulation-based analysis. Journal of Exposure Science and Environmental Epidemiology 25:160-166, 2015.
  20. Verma V, Fang T, Lu X, Peltier RE, Russell AG, Ng NL, Weber RJ. Organic aerosols associated with the generation of reactive oxygen species (ROS) by water-soluble PM2.5. Environmental Science and Technology 49(7):4646-4656, 2015.
  21. Verma V, Wang Y, El-Afifi R, Fang T, Rowland J, Russell AG, Weber RJ. Fractionating ambient humic-like substances (HULIS) for their reactive oxygen species activity - Assessing the importance of quinones and atmospheric aging. Atmospheric Environment 120:351-359, 2015.
  22. Winquist A, Schauer JJ, Turner J, Klein M, Sarnat SE. Impact of ambient fine particulate matter carbon measurement methods on observed associations with acute cardiorespiratory morbidity. Journal of Exposure Science and Environmental Epidemiology, 25:215-221, 2015.
  23. Xiao Q, Ma Z, Li S, Liu Y. The impact of winter heating on air pollution in China. PLoS One 10(1): e0117311, 2015.
  24. Xu L, Guo H, Boyd CM, Klein M, Bougiatioti A, Cerully KM, Hite JR, Isaacman-VanWertz G, Kreisberg NM, Knote C, Olson K, Koss A, Goldstein AH, Hering SV, de Gouw J, Baumann K, Lee SH, Nenes A, Weber RJ, Ng NL. Effects of anthropogenic emissions on aerosol formation from isoprene and monoterpenes in the southeastern United States. Proceedings of the National Academy of Sciences USA 112(1):37-42, 2015.
  25. Xu L, Suresh S, Guo H, Weber RJ, Ng NL. Aerosol characterization over the southeastern United States using high-resolution aerosol mass spectrometry: spatial and seasonal variation of aerosol composition and sources with a focus on organic nitrates. Atmospheric Chemistry and Physics 15:7307-7336, 2015.
  26. Yu C, Di Girolamo L, Chen L, Zhang X, Liu Y. Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels. Journal of Exposure Science and Environmental Epidemiology 25(5): 457-66, 2015.

2014

  1. Budisulistiorini SH, Canagaratna MR, Croteau PL, Baumann K, Edgerton ES, Kollman MS, Ng NL, Verma V, Shaw SL, Knipping EM, Worsnop DR, Jayne JT, Weber RJ, Surratt JD. Intercomparison of an Aerosol Chemical Speciation Monitor (ACSM) with ambient fine aerosol measurements in downtown Atlanta, Georgia. Atmospheric Measurement Techniques 7: 1929-1941, 2014.
  2. Chang HH, Hao H, Sarnat SE. A statistical modeling framework for projecting future ambient ozone and its health impact due to climate change. Atmospheric Environment 89:290-297, 2014.
  3. Chang HH, Hu X, Liu Y. Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling. Journal of Exposure Science and Environmental Epidemiology 24:398-404, 2014.
  4. Darrow LA, Klein M, Flanders WD, Mulholland JA, Tolbert PE, Strickland MJ. Air pollution and acute respiratory infections among children 0-4 years: an 18-year time-series study. American Journal of Epidemiology 180:968-77, 2014. **2014 Paper of the Year awarded by the Occupational Public Health Specialty Section of the Society of Toxicology**
  5. Dionisio KL, Baxter LK, Chang HH. An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models. Environmental Health Perspectives 122(11):1216-24, 2014.
  6. Gass K, Klein M, Chang HH, Flanders WD, Strickland MJ. Classification and regression trees for epidemiologic research: and air pollution example. Environmental Health 13:17, 2014. 
  7. Greenwald R, Bergin MH, Yip F, Kewada P, Shafer MM, Schauer JJ, Sarnat JA. On-roadway in-cabin exposure to particulate matter: measurement results using both continuous and time-integrated sampling approaches. Aerosol Science & Technology 48:664-675, 2014.
  8. Holmes H, Zhai X, Redman J, Digby K, Ivey C, Balachandran S, Sororian S, Friberg M, Zhang W, Maier M, Hu Y, Russell A, Mulholland J, Chang H. Improved spatiotemporal air pollutant mixtures characterization for health studies.  In Air Pollution Modeling and Its Application XXIII (D. Steyn and R. Mathur eds.) 2014.
  9. Hu X, Waller LA, Lyapustin A, Wang Y, Al-Hamdan MZ, Crosson WL, Estes MG, Estes SM, Quattrochi DA, Puttaswamy SJ, Liu Y. Estimating ground-level PM2.5 concentrations in the southeastern United States using MAIAC AOD retrievals and a two-stage model. Remote Sensing of Environment 140:220-232, 2014.
  10. Hu X, Waller LA, Lyapustin A, Wang Y, Liu Y. 2014. 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern U.S. estimated using high-resolution satellite data. Atmospheric Chemistry and Physics 14:6301-6314.
  11. Hu X, Waller LA, Lyapustin A, Wang Y, Liu Y. Improving satellite-driven PM2.5 models with Moderate Resolution Imaging Spectroradiometer fire counts in the southeastern US. Journal of Geophysical Research: Atmosphere, 2014, 119:11375-11386.
  12. Hu Y, Balachandran S, Pachon JE, Baek J, Ivey C, Holmes H, Odman MT, Mulholland JA, Russell AG. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmospheric Chemistry and Physics 14:5415-5431, 2014.
  13. Ivey C, Holmes H, Hu Y, Russell A, Mulholland J. Spatial and temporal extension of a novel hybrid source apportionment model. In Air Pollution Modeling and Its Application XXIII (D. Steyn and R. Mathur eds.) 2014.
  14. Liu J, Scheuer E, Dibb JE, Ziemba LD, Thornhill KL, Anderson BE, Wisthaler A, Mikoviny T, Devi JJ, Bergin M, Weber RJ. Brown carbon in the continental troposphere. Geophysical Research Letters 41:2191–2195, 2014, doi:2110.1002/2013GL058976.
  15. Ma Z, Hu X, Huang L, Bi J, Liu Y. Estimating ground-level PM2.5 in China using satellite remote sensing. Environmental Science and Technology 48:7436-7444, 2014.
  16. Neelon B, Chang HH, Ling Q, Hastings NS. Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits. Statistical Methods in Medical Research, 2014, DOI: 10.1177/0962280214527079.
  17. Pearce JL, Waller LA, Chang HH, Klein M, Mulholland JA, Sarnat JS, Sarnat SE, Strickland MJ, Tolbert PE. Using self-organizing maps to develop ambient air quality classifications for use in multipollutant health studies: a time-series example. Environmental Health 13:56, 2014.
  18. Reich BJ, Chang HH, Foley K. A spectral method for spatial downscaling. Biometrics 70:932-42, 2014.
  19. Reich BJ, Chang HH, Strickland MJ. Spatial health effects analysis with uncertain residential locations. Statistical Methods in Medical Research 23:156-68, 2014.
  20. Russell A, Holmes H, Frieberg M, Ivey S, Hu Y, Balachandran S, Mulholland J, Tolbert P, Sarnat J, Sarnat S, Strickland M, Chang H, Liu Y. Use of Air Quality Modeling Results in Health Effects Research. In Air Pollution Modeling and Its Application XXIII (D. Steyn and R. Mathur eds.) 2014.
  21. Sarnat JA, Golan R, Greenwald R, Raysoni AU, Kewada P, Winquist A, Sarnat SE, Flanders WD, Mirabelli MC, Zora JE, Bergin MH, Yip F. Exposure to Traffic Pollution, Acute Inflammation and Autonomic Response in a Panel of Car Commuters. Environmental Research 133: 66-76, 2014.
  22. Sororian S, Holmes H, Friberg M, Ivey C, Hu Y, Mulholland J, Russell A, Strickland M, Chang H. Temporally and spatially resolved air pollution in Georgia using fused ambient monitoring data and chemical transport model results. In Air Pollution Modeling and Its Application XXIII (D. Steyn and R. Mathur eds.) 2014. 
  23. Strickland MJ, Klein M, Flanders WD, Chang HH, Mulholland JA, Tolbert PE, Darrow LA. Modification of the effect of ambient air pollution on pediatric asthma emergency visits: susceptible subpopulations. Epidemiology 25(6):843-50, 2014.
  24. Strickland MJ, Marsh CA, Darrow LA. Gestational age-specific associations between infantile acute bronchiolitis and asthma after age five. Pediatric and Perinatal Epidemiology 28:521-26, 2014.
  25. Verma V, Fang T, Guo H, King L, Bates JT, Peltier RE, Edgerton E, Russell AJ, Weber RJ. Reactive oxygen species associated with water-soluble PM2.5 in the southeastern Unites States: spatiotemporal trends and source apportionment. Atmospheric Chemistry and Physics 14:12915-30, 2014.
  26. Winquist A, Kirrane E, Klein M, Strickland M, Darrow LA, Sarnat SE, Gass K, Mulholland JA, Russell AG, Tolbert PE. Joint effects of ambient air pollutants on pediatric asthma emergency department visits in Atlanta, 1998-2004. Epidemiology 25:666-73, 2014.
  27. Xu L, Guo H, Boyd CM, Klein M, Bougiatioti A, Cerully KM, Hite JR, Isaacman-VanWertz G, Kreisberg NM, Knote C, Olson K, Koss A, Goldstein AH, Hering SV, de Gouw J, Baumann K, Lee S-H, Nenes A, Weber RJ, Ng NL. Effects of anthropogenic emissions on aerosol formation from isoprene and monoterpenes in the southeastern United States. Proceedings of the National Academy of Sciences 112(1):37-42, 2014.

2013

  1. Balachandran S, Chang HH, Pachon JE, Holmes HA, Mulholland JA, Russell AG. Bayesian-based ensemble source apportionment of PM2.5. Environmental Science & Technology 47:13511-13518, 2013.
  2. Balachandran S, Pachon JE, Lee S, Oakes MM, Rastogi N, Shi W, Tagaris E, Yan B, Davis A, Zhang X, Weber RJ, Mulholland JA, Bergin MH, Zheng M, Russell AG. Particulate and gas sampling of prescribed fires in South Georgia, USA. Atmospheric Environment 81:125-135, 2013.
  3. Baxter LK, Dionisio KL, Burke J, Sarnat SE, Sarnat JA, Hodas N, Rich DQ, Turpin BJ, Jones RR, Mannshardt E, Kumar N, Beevers SD, Özkaynak H. Exposure prediction approaches used in air pollution epidemiology studies:  Key findings and future recommendations. Journal of Exposure Science and Environmental Epidemiology, 23:654-659, 2013.
  4. Dionisio KL, Isakov  V, Baxter L, Sarnat JA, Sarnat SE, Burke J, Rosenbaum A, Graham SE, Cook R, Mulholland J, Özkaynak H. Development and evaluation of alternative approaches for exposure assessment of multiple air pollutants in Atlanta, Georgia.  Journal of Exposure Science and Environmental Epidemiology, 23:581-592, 2013.
  5. Hu X, Waller LA, Al-Hamdan MZ, Crosson WL, Estes MG, Estes SM, Quattrochi DA, Sarnat JA, Liu Y. Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression. Environmental Research 121:1-10, 2013.
  6. King LE, Weber RJ. Development and testing of an online method to measure ambient fine particulate reactive oxygen species (ROS) based on the 2’,7’-dichlorofluorescin (DCFH) assay. Atmospheric Measurement Techniques 6:1647-1658, 2013.
  7. Liu J, Bergin M, Guo H, King L, Kotra N, Edgerton E, Weber RJ. Size-resolved measurements of brown carbon in water and methanol extracts and estimates of their contribution to ambient fine-particle light absorption.  Atmospheric Chemistry and Physics 13:12389-12404, 2013.
  8. Maier ML, Balachandran S, Sarnat SE, Turner JR, Mulholland JA, Russell AG. Application of an ensemble-trained source apportionment approach at a site impacted by multiple point sources. Environmental Science and Technology 47:3743-3751, 2013.
  9. Pachon JE, Weber RJ, Zhang X, Mulholland JA, Russell AG. Revising the use of potassium (K) in the source apportionment of PM2.5. Atmospheric Pollution Research 4(1):14-21, 2013. 
  10. Park SK, Russell AG. Regional adjustment of emission strengths via four dimensional data assimilation. Asia-Pacific Journal of Atmospheric Sciences 49(3):361-374, 2013.
  11. Park SK, Marmur A, Russell AG. Environmental risk assessment: comparison of receptor and air quality models for source apportionment. Human and Ecological Risk Assessment: An International Journal 19: 1385-1403, 2013.
  12. Sarnat JA, Sarnat SE, Chang H, Mulholland J, Özkaynak H, Isakov V. Spatiotemporally resolved air exchange rate as a modifier of acute air pollution-related morbidity. Journal of Exposure Science and Environmental Epidemiology, 23:606-615, 2013.
  13. Sarnat SE, Sarnat JA, Mulholland J, Isakov V, Özkaynak H, Chang H, Klein M, Tolbert PE. Application of alternative spatiotemporal metrics of ambient air pollution exposure in a time-series epidemiological study in Atlanta. Journal of Exposure Science and Environmental Epidemiology, 23:593-605, 2013.
  14. Verma V, Rico-Martinez R, Kotra N, Rennolds C, King L, Liu J, Snell T, Weber J. Estimating the toxicity of ambient fine aerosols using freshwater rotifer Brachionus calyciflorus (Rotifera: Monogononta). Environmental Pollution182:379-384, 2013.
  15. Waller LA. Commentary:  Regarding assessments of chance in investigations of `cluster series'. International Journal of Epidemiology 42:449-452, 2013.

2012

  1. Balachandran S, Pachon JE, Hu Y, Lee D, Mulholland JA, Russell AG.Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis.  Atmospheric Environment 61:387-394, 2012.
  2. Brown MS, Sarnat SE, DeMuth KA, Brown LAS, Whitlock DR, Brown SW, Tolbert PE, Fitzpatrick AM.  Residential proximity to a major roadway is associated with features of asthma control in children. PLoS ONE 7(5):e37044, 2012.
  3. Darrow LA, Hess J, Rogers CA, Tolbert PE, Klein M, Sarnat SE.  Ambient pollen concentrations and emergency department visits for asthma and wheeze.  Journal of Allergy and Clinical Immunology130(3):630-638, 2012.
  4. Goldman GT, Mulholland JA, Russell AG, Gass K, Strickland MJ, Klein M, Tolbert PE.  Characterization of ambient air pollution measurement error in a time-series health study using a geostatistical simulation approach.  Atmospheric Environment 57:101-108, 2012.
  5. Pachon JE, Balachandran S, Hu Y, Mulholland JA, Darrow LA, Sarnat JA, Tolbert PE, Russell AG. Development of outcome-based, multipollutant mobile source indicators. Journal of Air and Waste Management Association 62(4):431-442, 2012.
  6. Verma V, Rico-Martinez R, Kotra N, King L, Liu J, Snell TW, Weber RJ. Contribution of water-soluble and insoluble components and their hydrophobic/hydrophilic subfractions to the reactive oxygen species-generating potential of fine ambient aerosols. Environmental Science and Technology46:11384-11392, 2012.
  7. Winquist A, Klein M, Tolbert P, Sarnat SE.  Power estimation using simulations for air pollution time-series studies. Environmental Health11:68, 2012.
  8. Winquist A, Klein M, Tolbert P, Flanders WD, Hess J, Sarnat SE. Comparison of emergency department and hospital admissions data for air pollution time-series studies. Environmental Health 11:70, 2012.

2011

  1. Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method to detect residual confounding in spatial and other observational studies.  Epidemiology 22:823-826, 2011.
  2. Flanders WD, Klein M, Darrow LA, Strickland MJ, Sarnat SE, Sarnat JA, Waller LA, Winquist A, Tolbert PE. A method for detection of residual confounding in time-series and other observational studies. Epidemiology 22:59-67, 2011.
  3. Goldman GT, Mulholland JA, Russell AG, Strickland MJ, Klein M, Waller LA, Tolbert PE. Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies. Environmental Health 10:61, 2011.
  4. Strickland MJ, Darrow LA, Mulholland JA, Klein M, Flanders WD, Winquist A, Tolbert PE.  Implications of different approaches for characterizing ambient air pollutant concentrations within the urban airshed for time-series studies and health benefits analyses. Environmental Health 10:36, 2011.