Statistical air quality predictions for public health surveillance: Evaluation and generation of county level metrics of PM2.5 for the environmental public health tracking network

International Journal of Health Geographics

Volumn 12, Issue 1, 2013, Pages

  Vaidyanathan, Ambarish ^a   Dimmick, William Fred ^b   Kegler, Scott R ^c   Qualters, Judith R ^a  

^a NATIONAL CENTER FOR ENVIRONMENTAL HEALTH   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c NATIONAL CENTER FOR INJURY PREVENTION AND CONTROL   (United States)

Author keywords

Air quality system; Geo imputation; Hierarchical Bayesian; Particulate matter; Tracking Network

Indexed keywords

AIR POLLUTANT; AIR POLLUTION; ARTICLE; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HEALTH SURVEY; HUMAN; METHODOLOGY; PARTICULATE MATTER; STATISTICS; UNITED STATES;

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMANS; PARTICULATE MATTER; PUBLIC HEALTH SURVEILLANCE; UNITED STATES;

EID: 84874794246     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072x-12-12     Document Type: Article

References (29)

1. Samet J: The perspective of the national research council's committee on research priorities for airborne particulate matter. J Toxicol Environ Health 2005, 68(Suppl 13):1063-1067
2. Rom WN, Samet JM: Small particles with big effects. Am J Respir Crit Care Med 2006, 173:365-366
3. Dockery DW, Pope CA III: Acute respiratory effects of particulate air pollution. Annu Rev Public Health 1994, 15:107-132
4. Dockery DW, Pope CA, Xu X: An association between air pollution and mortality in six U.S. cities. N Engl J Med 1993, 329:1753-1759
5. Pope CA III, Burnett RT, Thun MJ: Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. J Am Med Assoc 2002, 287:1132-1141
6. Dominici F, Peng RD, Bell ML, Pham L, McDermott A, Zeger SL: Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. J Am Med Assoc 2006, 295(Suppl 10):1127-1134
7. Laden F, Schwartz J, Speizer FE, Dockery DW: Reduction in fine particulate air pollution and mortality: extended follow-up of the Harvard six cities study. Am J Respir Crit Care Med 2006, 173:667-672
8. Pew Charitable Trusts: Public Opinion research on Public Health. Washington, DC: Mellman Group Inc. and Public Opinion Strategies Inc; 1999
9. McGeehin MA, Qualters JR, Niskar AS: National environmental public health tracking program: bridging the information gap. Environ Health Perspect 2004, 112(Suppl 14):1409-1413
10. National Ambient Air Quality Standards(NAAQS). http://www.epa.gov/air/criteria.html
11. Environmental Public Health Tracking Network-Monitoring location maps. http://ephtracking.cdc.gov/showAirMonitor.action
12. Ambient Monitoring Technology Information Center-Sampling schedule Calendar. http://www.epa.gov/ttnamti1/calendar.html
13. Federal Advisory Committee Act-Ozone, PM, Regional Haze Implementation. http://www.epa.gov/ttn/faca/
14. McMillan N, Holland DM, Morara M, Feng J: Combining different sources of particulate data using Bayesian space-time modeling. Environmetrics 2009, 10:1002
15. Hibbert JD, Liese AD, Lawson A, Porter DE, Puett RC, Standiford D, Liu L, Dabelea D: Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes. Int J Health Geogr 2009, 8:54
16. Saporito S, Chavers JM, Nixon LC, McQuiddy MR: From here to there: methods of allocating data between census geography and socially meaningful areas. Soc Sci Res 2007, 36:897-920
17. Andersson N, Mitchell S: Epidemiological geomatics in evaluation of mine risk education. Int J Health Geogr 2006, 5:1
18. Chakraborty J, Armstrong MP: Exploring the use of buffer analysis for the identification of impacted areas in environmental equity assessment. Cartography and Geographic Inf Syst 1997, 24(Suppl 3):145-157
19. Zandborgen PA, Chakraborty J: Improving environmental exposure analysis using cumulative distribution functions and individual geocoding. Int J Health Geogr 2006, 5:23
20. Vaidyanathan A, Staley F, Shire J, Muthukumar S, Meyer PA, Brown MJ: Screening for Lead Poisoning: A geospatial approach to determine testing of children in at-risk neighborhoods. J Pediatr 2009, 154:409-414
21. Rodgers JL, Nicewander WA: Thirteen ways to look at the correlation coefficient. Am Statistician 1988, 42(1):59-66
22. Noether GE: Why Kendall Tau? http://www.rsscse-edu.org.uk/tsj/bts/noether/text.html
23. Kendall MG, Gibbons JD: Rank Correlation Methods. 5th edition. London: Arnold; 1990
24. SAS Institute Inc: SAS/STATW 9.2 User's Guide. Cary, NC: SAS Institute Inc; 2011
25. Appel KW, Bhave PV, Gilliand AB, Sarwar G, Roselle SJ: Evaluation of community multiscale air quality (CMAQ) model version 4.5: sensitivities impacting model performance; part II-particulate matter. J Atmospheric Environ 2008, 42:6057-6066
26. Isakov V, Irwin J, Ching J: Using CMAQ for exposure modeling and characterizing the subgrid variability for exposure estimates. J Appl Meteor Climatol 2007, 46:1354-1371
27. U.S. Environmental Protection Agency: CMAQ Model Performance Evaluation. http://www.epa.gov/cair/pdfs/CMAQ_Evaluation.pdf
28. Lim SS, Vos T, Flaxman AD, Danaei G, et al: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 15;380(9859):2224-2260
29. Denby B, Garcia V, Holland DM, Hogrefe C: Integration of air quality modeling and monitoring data for enhanced health exposure assessment. EM: AWMA 2009, 10:46-49