Validity of geographically modeled environmental exposure estimates

References

• Abbey DE, Lebowitz MD, Mills PK, Petersen FF, Beeson WL, Burchette RJ. (1995). Long-Term Ambient Concentrations of Particulates and Oxidants and Development of Chronic Disease in a Cohort of Nonsmoking California Residents. Inhal Toxicol, 7, 19–34.
   Web of Science ®Google Scholar
• Ahlbom A, Day N, Feychting M, Roman E, Skinner J, Dockerty J, et al. (2000). A pooled analysis of magnetic fields and childhood leukaemia. Br J Cancer, 83, 692–8.
   PubMed Web of Science ®Google Scholar
• Albertini RJ, Hayes RB. (1997). Somatic cell mutations in cancer epidemiology. IARC Sci Publ,(142), 159–84.
   Google Scholar
• Auchincloss AH, Gebreab SY, Mair C, Diez Roux AV. (2012). A review of spatial methods in epidemiology, 2000-2010. Annu Rev Public Health, 33, 107–22.
   PubMed Web of Science ®Google Scholar
• Avery CL, Mills KT, Williams R, McGraw KA, Poole C, Smith RL, Whitsel EA. (2010a). Estimating error in using ambient PM2.5 concentrations as proxies for personal exposures: a review. Epidemiology, 21, 215–23.
   PubMedGoogle Scholar
• Avery CL, Mills KT, Williams R, McGraw KA, Poole C, Smith RL, Whitsel EA. (2010b). Estimating error in using residential outdoor PM2.5 concentrations as proxies for personal exposures: a meta-analysis. Environ Health Perspect, 118, 673–8.
   PubMed Web of Science ®Google Scholar
• Babina K, Dollard M, Pilotto L, Edwards JW. (2012). Environmental exposure to organophosphorus and pyrethroid pesticides in South Australian preschool children: a cross sectional study. Environ Int, 48, 109–20.
   PubMed Web of Science ®Google Scholar
• Baker K, Scheff P. (2007). Photochemical model performance for PM2.5 sulfate, nitrate, ammonium, and precursor species SO2, HNO3, and NH3 at background monitor locations in the central and eastern United States. Atmos Environ, 41, 6185–95.
   Google Scholar
• Bateson TF, Coull BA, Hubbell B, Ito K, Jerrett M, Lumley T, et al. (2007). Panel discussion review: session three–issues involved in interpretation of epidemiologic analyses–statistical modeling. J Expo Sci Environ Epidemiol, 17, S90–6.
   PubMed Web of Science ®Google Scholar
• Beale L, Abellan JJ, Hodgson S, Jarup L. (2008). Methodologic issues and approaches to spatial epidemiology. Environ Health Perspect, 116, 1105–10.
   PubMed Web of Science ®Google Scholar
• Beckerman BS, Jerrett M, Martin RV, van Donkelaar A, Ross Z, Burnett RT. (2013). Application of the deletion/substitution/addition algorithm to selecting land use regression models for interpolating air pollution measurements in California. Atmos Environ, 77, 172–77.
   Google Scholar
• Beelen R, Hoek G, Pebesma E, Vienneau D, de Hoogh K, Briggs DJ. (2009). Mapping of background air pollution at a fine spatial scale across the European Union. Sci Total Environ, 407, 1852–67.
   PubMed Web of Science ®Google Scholar
• Beelen R, Raaschou-Nielsen O, Stafoggia M, Andersen ZJ, Weinmayr G, Hoffmann B, et al. (2013). Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project. Lancet.
   PubMedGoogle Scholar
• Berman DW, Cox LA Jr, Popken DA. (2013). A cautionary tale: the characteristics of two-dimensional distributions and their effects on epidemiological studies employing an ecological design. Crit Rev Toxicol, 43, 1–25.
   PubMed Web of Science ®Google Scholar
• Beyea J. (1999). Geographic exposure modeling: a valuable extension of geographic information systems for use in environmental epidemiology. Environ Health Perspect, 107, 181–90.
   PubMedGoogle Scholar
• Bird SL, Perry SG, Ray SL, Teske ME. (2002). Evaluation of the AgDISP aerial spray algorithms in the AgDRIFT model. Environ Toxicol Chem, 21, 672–81.
   PubMedGoogle Scholar
• Blaasaas KG, Tynes T. (2002). Comparison of three different ways of measuring distances between residences and high voltage power lines. Bioelectromagnetics, 23, 288–91.
   PubMed Web of Science ®Google Scholar
• Bonnet-Belfais M, Lambrozo J, Aurengo A. (2013). Comment: childhood leukaemia and power lines - the Geocap study: is proximity an appropriate MF exposure surrogate?Br J Cancer, 109, 1382–3.
   PubMedGoogle Scholar
• Bonzini S, Verro R, Otto S, Lazzaro L, Finizio A, Zanin G, Vighi M. (2006). Experimental validation of a geographical information systems-based procedure for predicting pesticide exposure in surface water. Environ Sci Technol, 40, 7561–9.
   PubMedGoogle Scholar
• Bradman A, Castorina R, Barr DB, Chevrier J, Harnly ME, Eisen EA, et al. (2011). Determinants of organophosphorus pesticide urinary metabolite levels in young children living in an agricultural community. Int J Environ Res Public Health, 8, 1061–83.
   PubMed Web of Science ®Google Scholar
• Brender JD, Maantay JA, Chakraborty J. (2011). Residential proximity to environmental hazards and adverse health outcomes. Am J Public Health, 101, S37–52.
   PubMedGoogle Scholar
• Briggs D. (2005). The role of GIS: coping with space (and time) in air pollution exposure assessment. J Toxicol Environ Health A, 68, 1243–61.
   PubMed Web of Science ®Google Scholar
• Briggs DJ, Collins S, Elliott P, Fischer P, Kingham S, Lebret E, et al. (1997). Mapping urban air pollution using GIS: a regression-based approach. Int J Geogr Inf Sci, 11, 699–718.
   Web of Science ®Google Scholar
• Brody JG, Vorhees DJ, Melly SJ, Swedis SR, Drivas PJ, Rudel RA. (2002). Using GIS and historical records to reconstruct residential exposure to large-scale pesticide application. J Expo Anal Environ Epidemiol, 12, 64–80.
   PubMedGoogle Scholar
• Brook RD, Rajagopalan S, Pope CA III, Brook JR, Bhatnagar A, Diez-Roux AV, et al.; American Heart Association Council on E, Prevention CotKiCD, Council on Nutrition PA, Metabolism. (2010). Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association. Circulation, 121, 2331–78.
   PubMed Web of Science ®Google Scholar
• Brownson RC, Hoehner CM, Day K, Forsyth A, Sallis JF. (2009). Measuring the built environment for physical activity: state of the science. Am J Prev Med, 36, S99–123 e12.
   PubMed Web of Science ®Google Scholar
• Buonanno G, Marini S, Morawska L, Fuoco FC. (2012). Individual dose and exposure of Italian children to ultrafine particles. Sci Total Environ, 438, 271–7.
   PubMed Web of Science ®Google Scholar
• Carozza SE, Li B, Wang Q, Horel S, Cooper S. (2009). Agricultural pesticides and risk of childhood cancers. Int J Hyg Environ Health, 212, 186–95.
   PubMed Web of Science ®Google Scholar
• Carpenter TE. (2011). The spatial epidemiologic (r)evolution: a look back in time and forward to the future. Spat Spatiotemporal Epidemiol, 2, 119–24.
   PubMedGoogle Scholar
• CASAC. (2014). Final Reports by Topic. Advice Related to NAAQS for Criteria Pollutants. Available at: http://www.yosemite.epa.gov/sab/sabproduct.nsf/WebReportsbyTopicCASAC!OpenView. Last updated and accessed: January 7, 2014.
   Google Scholar
• Cayo MR, Talbot TO. (2003). Positional error in automated geocoding of residential addresses. Int J Health Geogr, 2, 10.
   PubMedGoogle Scholar
• Cesaroni G, Badaloni C, Gariazzo C, Stafoggia M, Sozzi R, Davoli M, Forastiere F. (2013). Long-term exposure to urban air pollution and mortality in a cohort of more than a million adults in Rome. Environ Health Perspect, 121, 324–31.
   PubMed Web of Science ®Google Scholar
• Chen Z, Maartens F, Vega H, Kunene S, Gumede J, Krieger RI. (2009). 2,2-bis(4-Chlorophenyl)acetic acid (DDA), a water-soluble urine biomarker of DDT metabolism in humans. Int J Toxicol, 28, 528–33.
   PubMed Web of Science ®Google Scholar
• Cornelis C, Schoeters G, Kellen E, Buntinx F, Zeegers M. (2009). Development of a GIS-based indicator for environmental pesticide exposure and its application to a Belgian case-control study on bladder cancer. Int J Hyg Environ Health, 212, 172–85.
   PubMedGoogle Scholar
• Coronado GD, Holte S, Vigoren E, Griffith WC, Barr DB, Faustman E, Thompson B. (2011). Organophosphate pesticide exposure and residential proximity to nearby fields: evidence for the drift pathway. J Occup Environ Med, 53, 884–91.
   PubMed Web of Science ®Google Scholar
• Costello S, Cockburn M, Bronstein J, Zhang X, Ritz B. (2009). Parkinson's disease and residential exposure to maneb and paraquat from agricultural applications in the Central Valley of California. Am J Epidemiol, 169, 919–26.
   PubMed Web of Science ®Google Scholar
• Cox LA Jr, Popken DA, Berman DW. (2013). Causal versus spurious spatial exposure-response associations in health risk analysis. Crit Rev Toxicol, 43, 26–38.
   PubMed Web of Science ®Google Scholar
• Curl CL, Fenske RA, Kissel JC, Shirai JH, Moate TF, Griffith W, et al. (2002). Evaluation of take-home organophosphorus pesticide exposure among agricultural workers and their children. Environ Health Perspect, 110, A787–92.
   PubMed Web of Science ®Google Scholar
• Dean HT. (1938). Endemic fluorosis and its relation to dental caries. Public Health Rep, 53, 1443–52.
   PubMedGoogle Scholar
• Dockery DW, Pope CA III, Xu X, Spengler JD, Ware JH, Fay ME, et al. (1993). An association between air pollution and mortality in six US cities. N Engl J Med, 329, 1753–9.
   PubMed Web of Science ®Google Scholar
• Dominici F, Peng RD, Zeger SL, White RH, Samet JM. (2007). Particulate air pollution and mortality in the United States: did the risks change from 1987 to 2000?Am J Epidemiol, 166, 880–8.
   PubMed Web of Science ®Google Scholar
• Dominici F, Zeger SL, Samet JM. (2000). A measurement error model for time-series studies of air pollution and mortality. Biostatistics, 1, 157–75.
   PubMedGoogle Scholar
• Draper G, Vincent T, Kroll ME, Swanson J. (2005). Childhood cancer in relation to distance from high voltage power lines in England and Wales: a case-control study. BMJ, 330, 1290.
   PubMed Web of Science ®Google Scholar
• Eeftens M, Beelen R, de Hoogh K, Bellander T, Cesaroni G, Cirach M, et al. (2012). Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project. Environ Sci Technol, 46, 11195–205.
   PubMed Web of Science ®Google Scholar
• Elgethun K, Fenske RA, Yost MG, Palcisko GJ. (2003). Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environ Health Perspect, 111, 115–22.
   PubMed Web of Science ®Google Scholar
• Elliott P, Savitz DA. (2008). Design issues in small-area studies of environment and health. Environ Health Perspect, 116, 1098–104.
   PubMed Web of Science ®Google Scholar
• European Commission. (2005). SEC 1133. Commission Staff Working Paper. Annex to: The Communication on Thematic Strategy on Air Pollution and The Directive on “Ambient Air Quality and Cleaner Air for Europe.”Impact Assessment. Brussels: Commission of the European Communities.
   Google Scholar
• Evans J, van Donkelaar A, Martin RV, Burnett R, Rainham DG, Birkett NJ, Krewski D. (2013). Estimates of global mortality attributable to particulate air pollution using satellite imagery. Environ Res, 120, 33–42.
   PubMed Web of Science ®Google Scholar
• Fann N, Fulcher CM, Baker K. (2013). The recent and future health burden of air pollution apportioned across US sectors. Environ Sci Technol, 47, 3580–9.
   PubMedGoogle Scholar
• Fenske RA, Lu C, Barr D, Needham L. (2002). Children's exposure to chlorpyrifos and parathion in an agricultural community in central Washington State. Environ Health Perspect, 110, 549–53.
   PubMed Web of Science ®Google Scholar
• Feychting M, Kaune WT, Savitz DA, Ahlbom A. (1996). Estimating exposure in studies of residential magnetic fields and cancer: importance of short-term variability, time interval between diagnosis and measurement, and distance to power line. Epidemiology, 7, 220–4.
   PubMed Web of Science ®Google Scholar
• Feychting M, Svensson D, Ahlbom A. (1998). Exposure to motor vehicle exhaust and childhood cancer. Scand J Work Environ Health, 24, 8–11.
   PubMed Web of Science ®Google Scholar
• Foliart DE, Iriye RN, Silva JM, Mezei G, Tarr KJ, Ebi KL. (2002). Correlation of year-to-year magnetic field exposure metrics among children in a leukemia survival study. J Expo Anal Environ Epidemiol, 12, 441–7.
   PubMedGoogle Scholar
• Franklin M, Zeka A, Schwartz J. (2007). Association between PM2.5 and all-cause and specific-cause mortality in 27 US communities. J Expo Sci Environ Epidemiol, 17, 279–87.
   PubMed Web of Science ®Google Scholar
• Gaffney SH, Curriero FC, Strickland PT, Glass GE, Helzlsouer KJ, Breysse PN. (2005). Influence of geographic location in modeling blood pesticide levels in a community surrounding a US. Environmental protection agency superfund site. Environ Health Perspect, 113, 1712–6.
   PubMed Web of Science ®Google Scholar
• Gan WQ, FitzGerald JM, Carlsten C, Sadatsafavi M, Brauer M. (2013). Associations of ambient air pollution with chronic obstructive pulmonary disease hospitalization and mortality. Am J Respir Crit Care Med, 187, 721–7.
   PubMed Web of Science ®Google Scholar
• Gatto NM, Rhodes SL, Manthripragada AD, Bronstein J, Cockburn M, Farrer M, Ritz B. (2010). alpha-Synuclein gene may interact with environmental factors in increasing risk of Parkinson's disease. Neuroepidemiology, 35, 191–5.
   PubMedGoogle Scholar
• Goldberg DW, Zhang X, Marusek JC, Wilson JP, Ritz B, Cockburn M. (2007). Development of an automated pesticide exposure analyst for California's Central Valley. Proceedings of URISA's GIS in Public Health Conference. May 20-23, 2007, New Orleans, LA. Available at: http://www.spatial.usc.edu/wp-content/uploads/Pesticide-Exposure.pdf and http://www.dwgold.com/Conferences/Proceedings/urisaHealth2007.pdf. Last accessed: June 5, 2013.
   Google Scholar
• Goldman GT, Mulholland JA, Russell AG, Strickland MJ, Klein M, Waller LA, Tolbert PE. (2011). Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies. Environ Health, 10, 61.
   Google Scholar
• Green LM, Miller AB, Agnew DA, Greenberg ML, Li J, Villeneuve PJ, Tibshirani R. (1999). Childhood leukemia and personal monitoring of residential exposures to electric and magnetic fields in Ontario, Canada. Cancer Causes Control, 10, 233–43.
   PubMed Web of Science ®Google Scholar
• Greenland S, Gustafson P. (2006). Accounting for independent nondifferential misclassification does not increase certainty that an observed association is in the correct direction. Am J Epidemiol, 164, 63–8.
   PubMed Web of Science ®Google Scholar
• Gregorio DI, Cromley E, Mrozinski R, Walsh SJ. (1999). Subject loss in spatial analysis of breast cancer. Health Place, 5, 173–7.
   PubMedGoogle Scholar
• Gryparis A, Paciorek CJ, Zeka A, Schwartz J, Coull BA. (2009). Measurement error caused by spatial misalignment in environmental epidemiology. Biostatistics, 10, 258–74.
   PubMed Web of Science ®Google Scholar
• Gunier RB, Harnly ME, Reynolds P, Hertz A, Von Behren J. (2001). Agricultural pesticide use in California: pesticide prioritization, use densities, and population distributions for a childhood cancer study. Environ Health Perspect, 109, 1071–8.
   PubMed Web of Science ®Google Scholar
• Healy MA, Gilliland JA. (2012). Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research. Spat Spatiotemporal Epidemiol, 3, 55–67.
   PubMedGoogle Scholar
• Henderson SB, Beckerman B, Jerrett M, Brauer M. (2007). Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter. Environ Sci Technol, 41, 2422–8.
   PubMed Web of Science ®Google Scholar
• Henry KA, Boscoe FP. (2008). Estimating the accuracy of geographical imputation. Int J Health Geogr, 7, 3.
   PubMed Web of Science ®Google Scholar
• Henshaw SL, Curriero FC, Shields TM, Glass GE, Strickland PT, Breysse PN. (2004). Geostatistics and GIS: tools for characterizing environmental contamination. J Med Syst, 28, 335–48.
   PubMedGoogle Scholar
• Hoek G, Beelen R, de Hoogh K, Vienneau D, Gulliver J, Fischer P, Briggs D. (2008). A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmos Environ, 42, 7561–78.
   Web of Science ®Google Scholar
• Jacquez GM. (2012). A research agenda: does geocoding positional error matter in health GIS studies?Spat Spatiotemporal Epidemiol, 3, 7–16.
   PubMedGoogle Scholar
• Jacquez GM, Waller LA, Grimson R, Wartenberg D. (1996). The analysis of disease clusters, Part I: State of the art. Infect Control Hosp Epidemiol, 17, 319–27.
   PubMed Web of Science ®Google Scholar
• Jerrett M, Arain A, Kanaroglou P, Beckerman B, Potoglou D, Sahsuvaroglu T, et al. (2005). A review and evaluation of intraurban air pollution exposure models. J Expo Anal Environ Epidemiol, 15, 185–204.
   PubMed Web of Science ®Google Scholar
• Jerrett M, Burnett RT, Beckerman BS, Turner MC, Krewski D, Thurston G, Martin RV, et al. (2013). Spatial analysis of air pollution and mortality in California. Am J Respir Crit Care Med, 188, 593–9.
   PubMed Web of Science ®Google Scholar
• Jerrett M, Gale S, Kontgis C. (2010). Spatial modeling in environmental and public health research. Int J Environ Res Public Health, 7, 1302–29.
   PubMed Web of Science ®Google Scholar
• Jones TL, Shih CH, Thurston DH, Ware BJ, Cole P. (1993). Selection bias from differential residential mobility as an explanation for associations of wire codes with childhood cancer. J Clin Epidemiol, 46, 545–8.
   PubMed Web of Science ®Google Scholar
• Jurek AM, Greenland S, Maldonado G, Church TR. (2005). Proper interpretation of non-differential misclassification effects: expectations vs observations. Int J Epidemiol, 34, 680–7.
   PubMed Web of Science ®Google Scholar
• Kang GA, Bronstein JM, Masterman DL, Redelings M, Crum JA, Ritz B. (2005). Clinical characteristics in early Parkinson's disease in a central California population-based study. Mov Disord, 20, 1133–42.
   PubMed Web of Science ®Google Scholar
• Kangro HO, Osman HK, Lau YL, Heath RB, Yeung CY, Ng MH. (1994). Seroprevalence of antibodies to human herpesviruses in England and Hong Kong. J Med Virol, 43, 91–6.
   PubMed Web of Science ®Google Scholar
• Kheifets L, Ahlbom A, Crespi CM, Draper G, Hagihara J, Lowenthal RM, et al. (2010). Pooled analysis of recent studies on magnetic fields and childhood leukaemia. Br J Cancer, 103, 1128–35.
   PubMed Web of Science ®Google Scholar
• Kheirbek I, Wheeler K, Walters S, Kass D, Matte T. (2013). PM and ozone health impacts and disparities in New York City: sensitivity to spatial and temporal resolution. Air Qual Atmos Health, 6, 473–86.
   PubMed Web of Science ®Google Scholar
• Kim JY, Burnett RT, Neas L, Thurston GD, Schwartz J, Tolbert PE, et al. (2007). Panel discussion review: session two–interpretation of observed associations between multiple ambient air pollutants and health effects in epidemiologic analyses. J Expo Sci Environ Epidemiol, 17, S83–9.
   PubMed Web of Science ®Google Scholar
• Kistemann T, Dangendorf F, Schweikart J. (2002). New perspectives on the use of Geographical Information Systems (GIS) in environmental health sciences. Int J Hyg Environ Health, 205, 169–81.
   PubMed Web of Science ®Google Scholar
• Kleinerman RA, Kaune WT, Hatch EE, Wacholder S, Linet MS, Robison LL, et al. (2000). Are children living near high-voltage power lines at increased risk of acute lymphoblastic leukemia?Am J Epidemiol, 151, 512–5.
   PubMed Web of Science ®Google Scholar
• Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, et al. (2001). The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Environ Epidemiol, 11, 231–52.
   PubMedGoogle Scholar
• Kloog I, Koutrakis P, Coull BA, Lee HJ, Schwartz J. (2011). Assessing temporally and spatially resolved PM2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements. Atmos Environ, 45, 6267–75.
   Web of Science ®Google Scholar
• Kloog I, Ridgway B, Koutrakis P, Coull BA, Schwartz JD. (2013). Long- and short-term exposure to PM2.5 and mortality: using novel exposure models. Epidemiology, 24, 555–61.
   PubMed Web of Science ®Google Scholar
• Koch D, Lu C, Fisker-Andersen J, Jolley L, Fenske RA. (2002). Temporal association of children's pesticide exposure and agricultural spraying: report of a longitudinal biological monitoring study. Environ Health Perspect, 110, 829–33.
   PubMed Web of Science ®Google Scholar
• Krieger N, Waterman P, Lemieux K, Zierler S, Hogan JW. (2001). On the wrong side of the tracts?Evaluating the accuracy of geocoding in public health research. Am J Public Health, 91, 1114–6.
   PubMed Web of Science ®Google Scholar
• Krieger RI, Chen L, Ginevan M, Watkins D, Cochran RC, Driver JH, Ross JH. (2012). Implications of estimates of residential organophosphate exposure from dialkylphosphates (DAPs) and their relevance to risk. Regul Toxicol Pharmacol, 64, 263–6.
   PubMed Web of Science ®Google Scholar
• Kroll ME, Swanson J, Vincent TJ, Draper GJ. (2010). Childhood cancer and magnetic fields from high-voltage power lines in England and Wales: a case-control study. Br J Cancer, 103, 1122–7.
   PubMed Web of Science ®Google Scholar
• Lai HK, Tsang H, Thach TQ, Wong CM. (2013). Health impact assessment of exposure to fine particulate matter based on satellite and meteorological information. Environ Sci Process Impacts, 15, 239–46.
   Google Scholar
• Lee PC, Bordelon Y, Bronstein J, Ritz B. (2012). Traumatic brain injury, paraquat exposure, and their relationship to Parkinson disease. Neurology, 79, 2061–6.
   PubMed Web of Science ®Google Scholar
• Linet MS, Hatch EE, Kleinerman RA, Robison LL, Kaune WT, Friedman DR, et al. (1997). Residential exposure to magnetic fields and acute lymphoblastic leukemia in children. N Engl J Med, 337, 1–7.
   PubMed Web of Science ®Google Scholar
• Lipfert FW, Wyzga RE. (1997). Air pollution and mortality: the implications of uncertainties in regression modeling and exposure measurement. J Air Waste Manag Assoc, 47, 517–23.
   PubMedGoogle Scholar
• Loewenherz C, Fenske RA, Simcox NJ, Bellamy G, Kalman D. (1997). Biological monitoring of organophosphorus pesticide exposure among children of agricultural workers in central Washington State. Environ Health Perspect, 105, 1344–53.
   PubMed Web of Science ®Google Scholar
• Lu C, Fenske RA, Simcox NJ, Kalman D. (2000). Pesticide exposure of children in an agricultural community: evidence of household proximity to farmland and take home exposure pathways. Environ Res, 84, 290–302.
   PubMed Web of Science ®Google Scholar
• Luo Y, Zhang M. (2009). A geo-referenced modeling environment for ecosystem risk assessment: organophosphate pesticides in an agriculturally dominated watershed. J Environ Qual, 38, 664–74.
   PubMedGoogle Scholar
• Manthripragada AD, Costello S, Cockburn MG, Bronstein JM, Ritz B. (2010). Paraoxonase 1, agricultural organophosphate exposure, and Parkinson disease. Epidemiology, 21, 87–94.
   PubMed Web of Science ®Google Scholar
• Maslanyj M, Simpson J, Roman E, Schuz J. (2009). Power frequency magnetic fields and risk of childhood leukaemia: misclassification of exposure from the use of the ‘distance from power line’ exposure surrogate. Bioelectromagnetics, 30, 183–8.
   PubMed Web of Science ®Google Scholar
• Maslanyj MP, Mee TJ, Renew DC, Simpson J, Ansell P, Allen SG, Roman E. (2007). Investigation of the sources of residential power frequency magnetic field exposure in the UK Childhood Cancer Study. J Radiol Prot, 27, 41–58.
   PubMed Web of Science ®Google Scholar
• McBride ML, Gallagher RP, Theriault G, Armstrong BG, Tamaro S, Spinelli JJ, et al. (1999). Power-frequency electric and magnetic fields and risk of childhood leukemia in Canada. Am J Epidemiol, 149, 831–42.
   PubMed Web of Science ®Google Scholar
• Meyer KJ, Reif JS, Veeramachaneni DN, Luben TJ, Mosley BS, Nuckols JR. (2006). Agricultural pesticide use and hypospadias in eastern Arkansas. Environ Health Perspect, 114, 1589–95.
   PubMed Web of Science ®Google Scholar
• Miller KA, Siscovick DS, Sheppard L, Shepherd K, Sullivan JH, Anderson GL, Kaufman JD. (2007). Long-term exposure to air pollution and incidence of cardiovascular events in women. N Engl J Med, 356, 447–58.
   PubMed Web of Science ®Google Scholar
• Molitor J, Jerrett M, Chang CC, Molitor NT, Gauderman J, Berhane K, et al. (2007). Assessing uncertainty in spatial exposure models for air pollution health effects assessment. Environ Health Perspect, 115, 1147–53.
   PubMedGoogle Scholar
• Moore DA, Carpenter TE. (1999). Spatial analytical methods and geographic information systems: use in health research and epidemiology. Epidemiol Rev, 21, 143–61.
   PubMed Web of Science ®Google Scholar
• Morgenstern H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annu Rev Public Health, 16, 61–81.
   PubMed Web of Science ®Google Scholar
• Munoz-Quezada MT, Iglesias V, Lucero B, Steenland K, Barr DB, Levy K, et al. (2012). Predictors of exposure to organophosphate pesticides in schoolchildren in the Province of Talca, Chile. Environ Int, 47, 28–36.
   PubMed Web of Science ®Google Scholar
• NRC. (1991). Committee on Advances in Assessing Human Exposure to Airborne Pollutants. Human Exposure Assessment for Airborne Pollutants: Advances and Opportunities. Washington, DC: National Research Council (NRC), National Academy of Sciences.
   Google Scholar
• Nuckols JR, Gunier RB, Riggs P, Miller R, Reynolds P, Ward MH. (2007). Linkage of the California Pesticide Use Reporting Database with spatial land use data for exposure assessment. Environ Health Perspect, 115, 684–9.
   PubMed Web of Science ®Google Scholar
• Nuckols JR, Ward MH, Jarup L. (2004). Using geographic information systems for exposure assessment in environmental epidemiology studies. Environ Health Perspect, 112, 1007–15.
   PubMed Web of Science ®Google Scholar
• Oliver MA, Webster R. (1990). Kriging: a method of interpolation for geographical information systems. Int J Geogr Inf Syst, 4, 313–32.
   Google Scholar
• Oliver MN, Matthews KA, Siadaty M, Hauck FR, Pickle LW. (2005). Geographic bias related to geocoding in epidemiologic studies. Int J Health Geogr, 4, 29.
   PubMedGoogle Scholar
• Olsen JH, Nielsen A, Schulgen G. (1993). Residence near high voltage facilities and risk of cancer in children. BMJ, 307, 891–5.
   PubMed Web of Science ®Google Scholar
• Ott W, Wallace L, Mage D. (2000). Predicting particulate (PM10) personal exposure distributions using a random component superposition statistical model. J Air Waste Manag Assoc, 50, 1390–406.
   PubMedGoogle Scholar
• Pope CA III, Thun MJ, Namboodiri MM, Dockery DW, Evans JS, Speizer FE, Heath CW Jr. (1995). Particulate air pollution as a predictor of mortality in a prospective study of US adults. Am J Respir Crit Care Med, 151, 669–74.
   PubMed Web of Science ®Google Scholar
• Puett RC, Hart JE, Yanosky JD, Paciorek C, Schwartz J, Suh H, et al. (2009). Chronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses’ Health Study. Environ Health Perspect, 117, 1697–701.
   PubMed Web of Science ®Google Scholar
• Punger EM, West JJ. (2013). The effect of grid resolution on estimates of the burden of ozone and fine particulate matter on premature mortality in the United States. Air Qual Atmos Health, 6.
   PubMedGoogle Scholar
• Reynolds P, Hurley SE, Goldberg DE, Yerabati S, Gunier RB, Hertz A, et al. (2004). Residential proximity to agricultural pesticide use and incidence of breast cancer in the California Teachers Study cohort. Environ Res, 96, 206–18.
   PubMed Web of Science ®Google Scholar
• Reynolds P, Hurley SE, Gunier RB, Yerabati S, Quach T, Hertz A. (2005). Residential proximity to agricultural pesticide use and incidence of breast cancer in California, 1988–1997. Environ Health Perspect, 113, 993–1000.
   PubMed Web of Science ®Google Scholar
• Rezaeian M, Dunn G, St Leger S, Appleby L. (2007). Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary. J Epidemiol Community Health, 61, 98–102.
   PubMed Web of Science ®Google Scholar
• Ritz B, Costello S. (2006). Geographic model and biomarker-derived measures of pesticide exposure and Parkinson's disease. Ann N Y Acad Sci, 1076, 378–87.
   PubMed Web of Science ®Google Scholar
• Ritz BR, Manthripragada AD, Costello S, Lincoln SJ, Farrer MJ, Cockburn M, Bronstein J. (2009). Dopamine transporter genetic variants and pesticides in Parkinson's disease. Environ Health Perspect, 117, 964–9.
   PubMed Web of Science ®Google Scholar
• Roberts TR, Dyson JS, Lane MC. (2002). Deactivation of the biological activity of paraquat in the soil environment: a review of long-term environmental fate. J Agric Food Chem, 50, 3623–31.
   PubMed Web of Science ®Google Scholar
• Royster MO, Hilborn ED, Barr D, Carty CL, Rhoney S, Walsh D. (2002). A pilot study of global positioning system/geographical information system measurement of residential proximity to agricultural fields and urinary organophosphate metabolite concentrations in toddlers. J Expo Anal Environ Epidemiol, 12, 433–40.
   PubMedGoogle Scholar
• Rull RP, Ritz B. (2003). Historical pesticide exposure in California using pesticide use reports and land-use surveys: an assessment of misclassification error and bias. Environ Health Perspect, 111, 1582–9.
   PubMed Web of Science ®Google Scholar
• Rushton G, Armstrong MP, Gittler J, Greene BR, Pavlik CE, West MM, Zimmerman DL. (2006). Geocoding in cancer research: a review. Am J Prev Med, 30, S16–24.
   PubMed Web of Science ®Google Scholar
• Ryan PH, LeMasters GK. (2007). A review of land-use regression models for characterizing intraurban air pollution exposure. Inhal Toxicol, 19, 127–33.
   PubMed Web of Science ®Google Scholar
• Sarnat JA, Wilson WE, Strand M, Brook J, Wyzga R, Lumley T. (2007). Panel discussion review: session 1–exposure assessment and related errors in air pollution epidemiologic studies. J Expo Sci Environ Epidemiol, 17, S75–82.
   PubMed Web of Science ®Google Scholar
• Savitz DA, Wachtel H, Barnes FA, John EM, Tvrdik JG. (1988). Case-control study of childhood cancer and exposure to 60-Hz magnetic fields. Am J Epidemiol, 128, 21–38
   PubMed Web of Science ®Google Scholar
• Schulte PA, Talaska G. (1995). Validity criteria for the use of biological markers of exposure to chemical agents in environmental epidemiology. Toxicology, 101, 73–88.
   PubMedGoogle Scholar
• Schuz J, Grigat JP, Brinkmann K, Michaelis J. (2001). Residential magnetic fields as a risk factor for childhood acute leukaemia: results from a German population-based case-control study. Int J Cancer, 91, 728–35.
   PubMed Web of Science ®Google Scholar
• Sermage-Faure C, Demoury C, Rudant J, Goujon-Bellec S, Guyot-Goubin A, Deschamps F, et al. (2013). Childhood leukaemia close to high-voltage power lines–the Geocap study, 2002-2007. Br J Cancer, 108, 1899–906.
   PubMed Web of Science ®Google Scholar
• Sheppard L, Burnett RT, Szpiro AA, Kim SY, Jerrett M, Pope CA III, Brunekreef B. (2012). Confounding and exposure easurement error in air pollution epidemiology. Air Qual Atmos Health, 5, 203–16.
   PubMed Web of Science ®Google Scholar
• Sheppard L, Slaughter JC, Schildcrout J, Liu LJ, Lumley T. (2005). Exposure and measurement contributions to estimates of acute air pollution effects. J Expo Anal Environ Epidemiol, 15, 366–76.
   PubMedGoogle Scholar
• Simcox NJ, Fenske RA, Wolz SA, Lee IC, Kalman DA. (1995). Pesticides in household dust and soil: exposure pathways for children of agricultural families. Environ Health Perspect, 103, 1126–34.
   PubMed Web of Science ®Google Scholar
• Snow J. (1855). On the Mode of Communication of Cholera. 2nd ed. London: John Churchill.
   Google Scholar
• Spray Drift Task Force. (1997a). A Summary of Aerial Application Studies. Washington, D.C.: Spray Drift Task Force.
   Google Scholar
• Spray Drift Task Force. (1997b). A Summary of Airblast Application Studies. Washington, D.C.: Spray Drift Task Force.
   Google Scholar
• Spray Drift Task Force. (1997c). A Summary of Chemigation Application Studies. Washington, D.C.: Spray Drift Task Force.
   Google Scholar
• Spray Drift Task Force. (1997d). A Summary of Ground Application Studies. Washington, D.C.: Spray Drift Task Force.
   Google Scholar
• Strand M, Hopke PK, Zhao W, Vedal S, Gelfand E, Rabinovitch N. (2007). A study of health effect estimates using competing methods to model personal exposures to ambient PM2.5. J Expo Sci Environ Epidemiol, 17, 549–58.
   PubMedGoogle Scholar
• Strand M, Vedal S, Rodes C, Dutton SJ, Gelfand EW, Rabinovitch N. (2006). Estimating effects of ambient PM(2.5) exposure on health using PM(2.5) component measurements and regression calibration. J Expo Sci Environ Epidemiol, 16, 30–8.
   PubMedGoogle Scholar
• Swanson J. (2008). Methods used to calculate exposures in two epidemiological studies of power lines in the UK. J Radiol Prot, 28, 45–59.
   PubMedGoogle Scholar
• Swanson J. (2013). Residential mobility of populations near UK power lines and implications for childhood leukaemia. J Radiol Prot, 33, N9–N14.
   Google Scholar
• Szpiro AA, Sheppard L, Lumley T. (2011). Efficient measurement error correction with spatially misaligned data. Biostatistics, 12, 610–23.
   PubMedGoogle Scholar
• Teske ME, Bird SL, Esterly DM, Curbishley TB, Ray SL, Perry SG. (2002). AgDRIFT: a model for estimating near-field spray drift from aerial applications. Environ Toxicol Chem, 21, 659–71.
   PubMed Web of Science ®Google Scholar
• Touma JS, Cox WM, Tikvart JA. (2006). Spatial and temporal variability of ambient air toxics data. J Air Waste Manag Assoc, 56, 1716–25.
   PubMedGoogle Scholar
• Tynes T, Haldorsen T. (1997). Electromagnetic fields and cancer in children residing near Norwegian high-voltage power lines. Am J Epidemiol, 145, 219–26.
   PubMed Web of Science ®Google Scholar
• US CDC. (2013). Facts about paraquat. Available at: http://www.emergency.cdc.gov/agent/paraquat/basics/facts.asp. Atlanta, GA: US Centers for Disease Control and Prevention (CDC). Last updated: April 2, 2013.
   Google Scholar
• US EPA. (2005). 40 CFR Part 51. Revision to the Guideline on Air Quality Models: Adoption of a Preferred General Purpose (Flat and Complex Terrain) Dispersion Model and Other Revisions; Final Rule. Federal Register, 70, 68218–61.
   Google Scholar
• US EPA. (2010a). Air Quality Modeling Technical Support Document: Light-Duty Vehicle Greenhouse Gas Emission Standards Final Rule. EPA 454/R-10-003. Research Triangle Park, NC: US Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division.
   Google Scholar
• US EPA. (2004). Developing Spatially Interpolated Surfaces and Estimating Uncertainty. EPA-454/R-04-004. Research Triangle Park, NC: US Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards.
   Google Scholar
• US EPA. (2010b). Integrated Science Assessment for Carbon Monoxide (Final Report). EPA/600/R-09/019F. Washington, DC: US Environmental Protection Agency.
   Google Scholar
• US EPA. (2008a). Integrated Science Assessment for Oxides of Nitrogen – Health Criteria (Final Report). EPA/600/R-08/071. Washington, DC: US Environmental Protection Agency, 260.
   Google Scholar
• US EPA. (2013). Integrated Science Assessment for Ozone and Related Photochemical Oxidants (Final Report). EPA/600/R-10/076F. Washington, DC: US Environmental Protection Agency.
   Google Scholar
• US EPA. (2009). Integrated Science Assessment for Particulate Matter (Final Report). EPA/600/R-08/139F. Washington, DC: US Environmental Protection Agency, 2228.
   Google Scholar
• US EPA. (2008b). Integrated Science Assessment for Sulfur Oxides – Health Criteria (Final Report). EPA/600/R-08/047F. Washington, DC: US Environmental Protection Agency, 479.
   Google Scholar
• UK Childhood Cancer Study Investigators. (2000). Childhood cancer and residential proximity to power lines. Br J Cancer, 83, 1573–80.
   PubMed Web of Science ®Google Scholar
• UK Childhood Cancer Study Investigators. (1999). Exposure to power-frequency magnetic fields and the risk of childhood cancer. Lancet, 354, 1925–31.
   PubMedGoogle Scholar
• Ulfvarson U. (1992). Validation of exposure information in occupational epidemiology. Am J Ind Med, 21, 125–32.
   PubMedGoogle Scholar
• Urayama KY, Von Behren J, Reynolds P, Hertz A, Does M, Buffler PA. (2009). Factors associated with residential mobility in children with leukemia: implications for assigning exposures. Ann Epidemiol, 19, 834–40.
   PubMedGoogle Scholar
• Valjus J, Hongisto M, Verkasalo P, Jarvinen P, Heikkila K, Koskenvuo M. (1995). Residential exposure to magnetic fields generated by 110-400 kV power lines in Finland. Bioelectromagnetics16, 365–76.
   PubMed Web of Science ®Google Scholar
• van Donkelaar A, Martin RV, Brauer M, Kahn R, Levy R, Verduzco C, Villeneuve PJ. (2010). Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ Health Perspect, 118, 847–55.
   PubMed Web of Science ®Google Scholar
• Vu VH, Le XQ, Pham NH, Hens L. (2013). Application of GIS and modelling in health risk assessment for urban road mobility. Environ Sci Pollut Res Int, 20, 5138–49.
   PubMedGoogle Scholar
• Wahrendorf J. (1995). Design of studies for validation of biomarkers of exposure and their effective use in environmental epidemiology. Toxicology, 101, 89–92.
   PubMedGoogle Scholar
• Waller LA. (2000). A civil action and statistical assessments of the spatial pattern of disease: do we have a cluster?Regul Toxicol Pharmacol, 32, 174–83.
   PubMedGoogle Scholar
• Wang A, Costello S, Cockburn M, Zhang X, Bronstein J, Ritz B. (2011). Parkinson's disease risk from ambient exposure to pesticides. Eur J Epidemiol, 26, 547–55.
   PubMed Web of Science ®Google Scholar
• Ward MH, Nuckols JR, Giglierano J, Bonner MR, Wolter C, Airola M, et al. (2005). Positional accuracy of two methods of geocoding. Epidemiology, 16, 542–7.
   PubMed Web of Science ®Google Scholar
• Ward MH, Nuckols JR, Weigel SJ, Maxwell SK, Cantor KP, Miller RS. (2000). Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System. Environ Health Perspect, 108, 5–12.
   PubMed Web of Science ®Google Scholar
• Wertheimer N, Leeper E. (1979). Electrical wiring configurations and childhood cancer. Am J Epidemiol, 109, 273–84.
   PubMed Web of Science ®Google Scholar
• Whitsel EA, Quibrera PM, Smith RL, Catellier DJ, Liao D, Henley AC, Heiss G. (2006). Accuracy of commercial geocoding: assessment and implications. Epidemiol Perspect Innov, 3, 8.
   PubMedGoogle Scholar
• WHO. (2007). Extremely Low Frequency Fields. Environmental Health Criteria Monograph No.238. Geneva, Switzerland: World Health Organization (WHO).
   Google Scholar
• Wirdefeldt K, Adami HO, Cole P, Trichopoulos D, Mandel J. (2011). Epidemiology and etiology of Parkinson's disease: a review of the evidence. Eur J Epidemiol, 26, S1–58.
   Web of Science ®Google Scholar
• World Health Organization. (2006). Air Quality Guidelines. Global Update2005. Copenhagen: WHO Regional Office for Europe.
   Google Scholar
• Zanobetti A, Schwartz J. (2009). The effect of fine and coarse particulate air pollution on mortality: a national analysis. Environ Health Perspect, 117, 898–903.
   PubMed Web of Science ®Google Scholar
• Zeger SL, Thomas D, Dominici F, Samet JM, Schwartz J, Dockery D, Cohen A. (2000). Exposure measurement error in time-series studies of air pollution: concepts and consequences. Environ Health Perspect, 108, 419–26.
   PubMed Web of Science ®Google Scholar
• Zenk SN, Schulz AJ, Matthews SA, Odoms-Young A, Wilbur J, Wegrzyn L, et al. (2011). Activity space environment and dietary and physical activity behaviors: a pilot study. Health Place, 17, 1150–61.
   PubMed Web of Science ®Google Scholar