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Estimating disease prevalence using census data

  • M. CHOY (a1), P. SWITZER (a2), C. De MARTEL (a1) (a3) and J. PARSONNET (a1) (a3)

We describe a method of working on publicly available data to estimate disease prevalence in small geographic areas using Helicobacter pylori as a model infection. Using data from the Third National Health and Nutrition Examination Survey, risk parameters for H. pylori infection were obtained by logistic regression and validated by predicting 737·5 infections in an independent cohort with 736 observed infections. The prevalence of H. pylori infection in the San Francisco Bay Area was estimated with the probabilities obtained from a predictive logistic model, using risk parameters with individual-level 1990 U.S. Census data as input. Predicted H. pylori prevalence was also compared to gastric cancer incidence obtained from the Northern California Cancer Center and showed a positive correlation with gastric cancer incidence (P<0·001, R2=0·87), and no statistically significant association with other malignancies. By exclusively using publicly available data, these methods may be applied to selected conditions with strong demographic predictors.

Corresponding author
*Author for correspondence: J. Parsonnet, M.D., Stanford University, 300 Pasteur Dr., Grant Bldg, S-169, Stanford, CA 94305-5107, USA. (Email:
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1.  CF Belanger , The nurses' health study. American Journal of Nursing 1978; 78: 10391040.

3.  LN Borrell , Neighbourhood characteristics and mortality in the Atherosclerosis Risk in Communities Study. International Journal of Epidemiology 2004; 33: 398407.

4.  PM Krueger , Neighbourhoods and homicide mortality: an analysis of race/ethnic differences. Journal of Epidemiology and Community Health 2004; 58: 223230.

5.  MA Winkleby , C Cubbin . Influence of individual and neighbourhood socioeconomic status on mortality among black, Mexican-American, and white women and men in the United States. Journal of Epidemiology and Community Health 2003; 57: 444452.

6.  J Kelsall , J Wakefield . Modeling spatial variation in disease risk: a geostatistical approach. Journal of the American Statistical Association 2002; 97: 692701.

7.  AB Lawson , A Clark . Spatial mixture relative risk models applied to disease mapping. Statistics in Medicine 2002; 21: 359370.

8. The EUROGAST Study Group. An international association between Helicobacter pylori infection and gastric cancer. Lancet 1993; 341: 13591362.

9.  J Parsonnet , Helicobacter pylori infection and the risk of gastric carcinoma. New England Journal of Medicine 1991; 325: 11271131.

10.  A Nomura , Helicobacter pylori infection and gastric carcinoma among Japanese Americans in Hawaii. New England Journal of Medicine 1991; 325: 11321136.

11.  N Uemura , Helicobacter pylori infection and the development of gastric cancer. New England Journal of Medicine 2001; 345: 784789.

12.  JE Everhart , Seroprevalence and ethnic differences in Helicobacter pylori infection among adults in the United States. Journal of Infectious Diseases 2000; 181: 13591363.

13.  S Perry , Helicobacter pylori and risk of gastroenteritis. Journal of Infectious Diseases 2004; 190: 303310.

16.  D Forman , Geographic association of Helicobacter pylori antibody prevalence and gastric cancer mortality in rural China. International Journal of Cancer 1990; 46: 608611.

17.  JT Lin , Ecological study of association between Helicobacter pylori infection and gastric cancer in Taiwan. Digestive Diseases Sciences 1995; 40: 385388.

18.  C de Martel , Helicobacter pylori infection and the risk of development of esophageal adenocarcinoma. Journal of Infectious Diseases 2005; 191: 761767.

19.  W Ye , Helicobacter pylori infection and gastric atrophy: risk of adenocarcinoma and squamous-cell carcinoma of the esophagus and adenocarcinoma of the gastric cardia. Journal of the National Cancer Institute 2004; 96: 388396.

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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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