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Census data issues for epidemiology and health risk assessment: experiences from the Small Area Health Statistics Unit

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  • David Briggs
  • Daniela Fecht
  • Kees De Hoogh

Abstract

Summary. Census data are vital components of epidemiological studies, but the issues that are involved in using these data in such studies are often not fully appreciated. The paper describes some of the problems and uncertainties that arise, and some of the approaches that can be used to address them, based on experience in the Small Area Health Statistics Unit at Imperial College London. Issues considered include the geography of census data (zone design systems, recasting and the role of postcodes), temporal aspects of census data (especially in relation to migration and population change) and information content (especially in relation to characterization of socio‐economic status). In the light of these issues, opportunities to improve the resolution and utility of census data for epidemiological studies are discussed.

Suggested Citation

  • David Briggs & Daniela Fecht & Kees De Hoogh, 2007. "Census data issues for epidemiology and health risk assessment: experiences from the Small Area Health Statistics Unit," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 355-378, March.
    • Handle: RePEc:bla:jorssa:v:170:y:2007:i:2:p:355-378
    DOI: 10.1111/j.1467-985X.2006.00467.x
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    2. Frijters, Paul & Barón, Juan D., 2009. "Do the Obese Really Die Younger or Do Health Expenditures Buy Them Extra Years?," IZA Discussion Papers 4149, Institute of Labor Economics (IZA).
    3. Sabel, C.E. & Kihal, W. & Bard, D. & Weber, C., 2013. "Creation of synthetic homogeneous neighbourhoods using zone design algorithms to explore relationships between asthma and deprivation in Strasbourg, France," Social Science & Medicine, Elsevier, vol. 91(C), pages 110-121.
    4. Sakshaug Joseph W. & Wiśniowski Arkadiusz & Ruiz Diego Andres Perez & Blom Annelies G., 2019. "Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach," Journal of Official Statistics, Sciendo, vol. 35(3), pages 653-681, September.
    5. Julien Caudeville & Despoina Ioannidou & Emmanuelle Boulvert & Roseline Bonnard, 2017. "Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities," IJERPH, MDPI, vol. 14(3), pages 1-16, March.

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