A Bayesian Maximum Entropy approach to address the change of support problem in the spatial analysis of childhood asthma prevalence across North Carolina

Spatial and Spatio-temporal Epidemiology

Volumn 1, Issue 1, 2009, Pages 49-60

  Lee, Seung Jae ^a   Yeatts, Karin B ^b   Serre, Marc L ^c  

^a NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

^b IL   (United States)

^c University of North Carolina at Chapel Hill   (United States)

Author keywords

Asthma; BME; Data uncertainty; Geostatistics; Observation scales

Indexed keywords

ARTICLE; ASTHMA; BAYES THEOREM; CHILD; CHILDHOOD DISEASE; CHILDHOOD MORTALITY; GEOGRAPHIC DISTRIBUTION; GEOSTATISTICAL ANALYSIS; HEALTH SURVEY; HUMAN; PREVALENCE; PRIORITY JOURNAL; SCHOOL; UNITED STATES; VALIDATION PROCESS;

AGE DISTRIBUTION; AIR POLLUTION; ASTHMA; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; ENTROPY; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; FEMALE; HUMANS; MALE; NORTH CAROLINA; PREVALENCE; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; SEX DISTRIBUTION; SPATIAL ANALYSIS;

EID: 77953266426     PISSN: 18775845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sste.2009.07.005     Document Type: Article

References (30)

1. Banerjee S., Carlin B.P., and Gelfand A.E. Hierarchical modeling and analysis for spatial data (2004), Chapman & Hall 448p
2. Besag J., York J., and Mollie A. Bayesian image restoration with two applications in spatial statistics. Ann Inst Stat Math 43 (1991) 1-59
3. Buescher P, Jones-Vessey K. Childhood asthma in North Carolina. A special report series by the State Center for Health Statistics, vol. 113. Raleigh, NC; 1999.
4. Choi K.M., Serre M.L., and Christakos G. Efficient mapping of California mortality fields at different spatial scales. J Expo Anal Environ Epidemiol 13 2 (2003) 120-133
5. Christakos G. Modern spatiotemporal geostatistics (2000), Oxford University Press, New York, NY
6. Christakos G., and Serre M.L. BME analysis of spatiotemporal particulate matter distribution in North Carolina. Atmos Environ 34 (2000) 3393-3406
7. Delfino R.J., Chang J., Wu J., Ren C., Tjoa T., Nickerson B., et al. Repeated hospital encounters for asthma in children and exposure to traffic-related air pollution near the home. Ann Allergy Asthma Immunol 102 2 (2009) 138-144
8. Diggle P.J., and Ribeiro P.J. Model-based geostatistics (2007), Springer 230p.
9. Environmental Protection Agency (US EPA). Air quality criteria for particulate matter, EPA/600/P-95/001cF, vol. III. Washington, DC; 1996.
10. Environmental Protection Agency (US EPA). Air quality criteria for ozone and related photochemical oxidants (second external review draft), EPA/600/R-05/004aB, vol. I. NC: Research Triangle Park; 2005.
11. Gehring U., Cyrys J., Sedlmeir G., Brunekreef B., Bellander T., Fischer P., et al. Traffic-related air pollution and respiratory health during the first 2 yrs of life. Eur Respir J 19 (2002) 690-698
12. Gergen P.J., Mullally D.I., and Evans III R. National survey of prevalence of asthma among children in the United States, 1976 to 1980. Pediatrics 81 1 (1988) 1-7
13. Goovaerts P. Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging. Int J Health Geograph 5 (2006) 52
14. Goovaerts P., and Gebreab S. How does Poisson kriging compare to the popular BYM model for mapping disease risks?. Int J Health Geograph 7 (2008) 6 10.1186/1476-072X-7-6
15. Gotway C.A., and Young L.J. Combining incompatible spatial data. J Am Stat Assoc 97 458 (2002) 632-648
16. Hernandez A, Von Behren J, Kreutzer R, McLaughlin B. California county asthma hospitalization chart book. California Department of Health Services, Environmental Health Investigations Branch; 2000.
17. Journel A.G., and Huijbregts C.J. Mining geostatistics (1978), Academic Press 600p
18. Kelsall J., and Wakefield J. Modeling spatial variation in disease risk: a geostatistical approach. J Am Stat Assoc 97 459 (2002) 692-701
19. Lawson A.B., Browne W.J., and Vidal R. Disease mapping with WinBUGS and MLwiN (2003), Wiley 278p
20. Lee S.J., and Wentz E.A. Applying Bayesian Maximum Entropy to extrapolating local-scale water consumption in Maricopa County, Arizona. Water Resour Res 44 (2008) W01401 10.1029/2007WR006101
21. Lewis T.C., Robins T.G., Dvonch J.T., Keeler G.J., Yip F.Y., Mentz G.B., et al. Air pollution-associated changes in lung function among asthmatic children in Detroit. Environ Health Perspect 113 8 (2005) 1068-1075
22. McConnell R., Berhane K., Gilliland F., London S.J., Islam T., Gauderman W.J., et al. Asthma in exercising children exposed to ozone: a cohort study. The Lancet 359 (2002) 386-391
23. Mortimer K.M., Neas L.M., Dockery D.W., Redline S., and Tager I.B. The effect of air pollution on inner-city children with asthma. Eur Respir J 19 (2002) 699-705
24. National Center for Health Statistics. ; 2006 [accessed 07.09.08].
25. Oyana T.J., Rogerson P., and Lwebuga-Mukasa J.S. Geographic clustering of adult asthma hospitalization and residential exposure to pollution at a United States-Canada border crossing. Am J Public Health 94 7 (2004) 1250-1257
26. Strachan D.P. The epidemiology of childhood asthma. Allergy 54 (1999) 7-11
27. Weiss K., Haus M., and Iikura Y. The costs of allergy and asthma and the potential benefit of prevention strategies. Chem Immunol Allergy 84 (2004) 184-192
28. Yeatts K.B., Davis K.J., Herget C., Sotir M., and Shy C.M. Who gets diagnosed with asthma? Frequent wheeze among adolescents with and without a diagnosis of asthma. Pediatrics 111 (2003) 1046-1054
29. Zmirou D., Gauvin S., Pin I., Momas I., Sahraoui F., Just J., et al. Traffic related air pollution and incidence of childhood asthma: results of the VESTA case-control study. J Epidemiol Commun Health 58 (2004) 18-23
30. Zhu L., Carlin B.P., English P., and Scalf R. Hierarchical modeling of spatio-temporally misaligned data: relating traffic density to pediatric asthma hospitalizations. Environmetrics 11 (2000) 43-61