Abstract
Cost-effective approaches for identifying and enrolling subjects in community-based epidemiological studies face many challenges. Additional challenges arise when a neighborhood scale of analysis is required to distinguish between individual- and group-level risk factors with strong environmental determinants. A stratified, two-stage, cross-sectional, address-based telephone survey of Greater Tucson, Arizona, was conducted in 2002–2003. Subjects were recruited from direct marketing data at neighborhood resolution using a geographic information system (GIS). Three geomorphic strata were divided into two demographic units. Households were randomly selected within census block groups, selected using the probability proportional to size technique. Purchased direct marketing lists represented 45.2% of Census 2000 households in the surveyed block groups. Survey design effect (1.6) on coccidioidomycosis prevalence (88 per 100,000 per year) was substantially reduced in four of the six strata (0.3–0.9). Race–ethnicity was more robust than age and gender to compensate for significant selection bias using poststratification. Clustered, address-based telephone surveys provide a cost-effective, valid method for recruiting populations from address-based lists using a GIS to design surveys and population survey statistical methods for analysis. Landscape ecology provides effective methods for identifying scales of analysis and units for stratification that will improve sampling efficiency when environmental variables of interest are strong predictors.
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References
American Association for Public Opinion Research. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. AAPOR, Lenexa, Kansas, 2008.
Ampel N.M., Hector R.F., Lindan C.P., and Rutherford G.W. An archived lot of coccidioidin induces specific coccidioidal delayed-type hypersensitivity and correlates with in vitro assays of coccidioidal cellular immune response. Mycopathologia 2006: 161 (2): 67–72.
Bergmann M.M., Calle E.E., Mervis C.A., Miracle-McMahill H.L., Thun M.J., and Heath C.W. Validity of self-reported cancers in a prospective cohort study in comparison with data from state cancer registries. Am J Epidemiol 1998: 147 (6): 556–562.
Bergmann M.M., Jacobs E.J., Hoffmann K., and Boeing H. Agreement of self-reported medical history: comparison of an in-person interview with a self-administered questionnaire. Eur J Epidemiol 2004: 19 (5): 411–416.
Brick J.M., Brick P.D., Dipko S., Presser S., Tucker C., and Yuan Y. Cell phone survey feasibility in the US: sampling and calling cell numbers versus landline numbers. Public Opin Q 2007: 71 (1): 23–39.
Cardiff. Teleform version 7.0 [computer program], Autonomy Cardiff, Vista, CA, 2002.
Census Bureau. Geographic Areas Reference Manual. US Dept. of Commerce, Economics and Statistics Administration, Washington, 1994.
Census Bureau. Census 2000 Summary File 1-Arizona [database online]. US Dept. of Commerce, Economics and Statistics Administration, Bureau of Census, Washington. http://www.census.gov/Press-Release/www/2001/sumfile1.html, 2001 Accessed 1 June 2009.
Census Bureau. Census 2000 Summary File 3-Arizona [database online]. US Dept. of Commerce, Economics and Statistics Administration, Bureau of Census, Washington. http://www.census.gov/Press-Release/www/2002/sumfile3.html, 2002. Accessed 1 June 2009.
Centers for Disease Control and Prevention. Final 2006 Reports of Nationally Notifiable Infectious Diseases. Morb Mortal Wkly Rep 2007: 56 (33): 851–863.
Centers for Disease Control and Prevention. Coccidioidomycosis 1995 and 1996 Case Definitions [web site], http://www.cdc.gov/ncphi/disss/nndss/casedef/coccidioid1995.htmhttp://www.cdc.gov/ncphi/disss/nndss/casedef/coccidioid1996.htm, 2008, Accessed 1 June 2009.
Chang E.T., Smedby K.E., Hjalgrim H., Glimelius B., and Adami H.O. Reliability of self-reported family history of cancer in a large case-control study of lymphoma. J Natl Cancer Inst 2006: 98 (1): 61–68.
Cochran C.C., Richardson M.L., Levine S.J., and Orrell D.E. Soil Survey of Pima County, Arizona, Eastern Part. US Department of Agriculture, Natural Resource Conservation Service, Washington DC, 2003.
Comrie A.C. Climate factors influencing coccidioidomycosis seasonality and outbreaks. Environ Health Perspect 2005: 113 (6): 688–692.
DiGaetano R., and Waksberg J. Commentary: trade-offs in the development of a sample design for case-control studies. Am J Epidemiol 2002: 155 (8): 771–775.
Dodge R.R., Lebowitz M.D., Barbee R., and Burrows B. Estimates of Coccidioides immitis infection by skin test reactivity in an endemic community. Am J Public Health 1985: 75: 863–865.
Durant R.W., Davis R.B., George D., Williams I.C., Blumenthal C., and Corbie-Smith G.M. Participation in research studies: factors associated with failing to meet minority recruitment goals. Ann Epidemiol 2007: 17 (8): 634–642.
ESRI. ArcView 3.2 and ArcGIS 9.2 [computer programs], ESRI, Redlands, CA, 2006.
Galgiani J., Brauer R.J., Kurzius-Spencer M., and Wieden M.A. Valley Fever (Coccidioidomycosis) [Brochure]. Valley Fever Center for Excellence, Tucson, Arizona, 2000.
Galgiani J.N. Coccidioidomycosis: a regional disease of national importance — Rethinking approaches for control. Ann Inter Med 1999: 130 (4): 293–300.
Haapanen N., Miilunpalo S., Pasanen M., Oja P., and Vuori I. Agreement between questionnaire data and medical records of chronic diseases in middle-aged and elderly Finnish men and women. Am J Epidemiol 1997: 145 (8): 762–769.
Johnson W.M. Occupational factors in coccidioidomycosis. J Occup Environ Med 1981: 23 (5): 367–374.
Johnson W.M. Racial factors in coccidioidomycosis: mortality experience in Arizona — a review of the literature. Arizona Med 1982: 39 (1): 18–24.
Kempf A.M., and Remington P.L. New challenges for telephone survey research in the twenty-first century. Annu Rev Public Health 2007: 28: 113–126.
Kirkland T.N., and Fierer J. Coccidioidomycosis: a reemerging infectious disease. Emerg Infect Dis 1996: 2 (3): 192–199.
Kvestad E., Kvaerner K.J., Roysamb E., Tambs K., Harris J.R., and Magnus P. The reliability of self-reported childhood otitis media by adults. Int J Pediatr Otorhinolaryngol 2006: 70 (4): 597–602.
Leake J.A.D., Mosley D.G., England B., Graham J.V., Plikaytis B.D., and Ampel N.M., et al. Risk factors for acute symptomatic coccidioidomycosis among elderly persons in Arizona, 1996–1997. J Infect Dis 2000: 181 (4): 1435–1440.
Lebowitz M.D., Knudson R.J., and Burrows B. Tucson Epidemiologic Study of Obstructive Lung-Diseases .1. Methodology and Prevalence of Disease. Am J Epidemiol 1975: 102 (2): 137–152.
Lebowitz M.D., and Burrows B. Comparison of Questionnaires — BMRC and NHLI Respiratory Questionnaires and a New Self-Completion Questionnaire. Am Rev Respir Dis 1976: 113 (5): 627–635.
Levy P.S., and Lemeshow S. Sampling of Populations: Methods and Applications. John Wiley & Sons, Inc., New York, 1999.
Lewis-Beck M.S, Bryman A., and Liao T.F. The SAGE Encyclopedia of Social Science Research Methods, vol. 1, 2003.
Little R.J.A., and Rubin D.B. Statistical Analysis With Missing Data. Wiley-Interscience, Hoboken, 2002.
Mander A., and Clayton D. Hotdeck imputation. Stata Technical Bulletin Reprints 2000: 9: 196–199.
McCarty C., House M., Harman J., and Richards S. Effort in phone survey response rates: the effects of vendor and client-controlled factors. Field Methods 2006: 18 (2): 172–188.
Pappagianis D. Epidemiology of coccidioidomycosis. In: McGinnis M. (ed.). Current Topics in Medical Mycology. Springer Verlag, 1988, pp. 199–238.
Pappagianis D., Feldman G., Billimek M., Mascola L., Werner S.B., and Jackson R.J., et al. Coccidioidomycosis following the northridge earthquake — California, 1994. Morb Mortal Wkly Rep 1994: 43: 194–195.
Pappagianis D., Sun R.K, Werner S.B., Rutherford G.W., Elsea R.W., Miller G.B., Bootwala T., and Hopkins R.S. Coccidioidomycosis — United-States, 1991–1992. Morb Mortal Wkly Rep 1993: 42 (2): 21–24.
Park B.J., Sigel K., Vaz V., Komatsu K., McRill C., and Phelan M., et al. An epidemic of coccidioidomycosis in Arizona associated with climatic changes, 1998–2001. J Infect Dis 2005: 191 (11): 1981–1987.
Pima County Department of Transportation. Adparcel (Parcel Addresses), Paregion (Regional Parcels), and Blocks (Census Blocks) [Database Online]. Pima County Department of Transportation, Tucson, 2007.
Rosenstein N.E., Emery K.W., Werner S.B., Kao A., Johnson R., Rogers D., and Vugia D., et al. Risk factors for severe pulmonary and disseminated coccidioidomycosis: Kern County, California, 1995–1996. Clin Infect Dis 2001: 32 (5): 708–714.
Rubin D.B. Multiple Imputation for Nonresponse in Surveys. John Wiley & Sons, New York, 1987.
SAS Institute. SAS Versions 8.2 to 9.2 [computer program]. SAS Institute Inc., Cary, NC, 2008.
Soil Conservation Service. General Soil Map (of Greater Tucson), pp. digitized from 1:1,000,000 scale map US Dept. of Agriculture, Soil Conservation Service and the University of Arizona Experimental Station, Tucson, 1975.
StataCorp. Stata Statistical Software: StataSE version 9 [computer program]. StataCorp LP, College Station, TX, 2005a.
StataCorp. Survey Data: Release 9. StataCorp LP, College Station, TX, 2005b.
Sunenshine R.H., et al. Public health surveillance for Coccidioidomycosis in Arizona. Ann NY Acad Sci 2007: 1111: 96–102.
Tabor JA. Epidemiology of Coccidioidomycosis in Tucson, Arizona, [dissertation]. Mel and Enid Zuckerman College of Public Health, the University of Arizona, Tucson, Arizona, 2009.
Turner M.G., Gardner R.H., and O'Neill R.V. Landscape Ecology in Theory and Practice. Springer-Verlag, New York, 2001.
Acknowledgements
We thank the survey participants and to the journal's reviewers for their timely and helpful comments. Funding for this study was provided by: Arizona Disease Control Research Commission (no. 6017 to J.A.T. and M.K.O'R and the Centers for Disease Control and Prevention through the Association of Teachers of Preventive Medicine (TS 352-15/15; to J.A.T. and M.D.L.). Arizona Department of Health Services provided information on cases reported by physicians and diagnostic laboratories. Additional support was provided by Dr. John Galgiani and the Valley Fever Center for Excellence.
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Tabor, J., O'rourke, M., Lebowitz, M. et al. Landscape-epidemiological study design to investigate an environmentally based disease. J Expo Sci Environ Epidemiol 21, 197–211 (2011). https://doi.org/10.1038/jes.2009.67
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DOI: https://doi.org/10.1038/jes.2009.67
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