Using infectious intestinal disease surveillance data to explore illness aetiology; a cryptosporidiosis case study

Lake, Iain R. ORCID: https://orcid.org/0000-0003-4407-5357, Nichols, Gordon, Harrison, Florence C. D., Bentham, Graham, Kovats, R. Sari, Grundy, Chris and Hunter, Paul R. ORCID: https://orcid.org/0000-0002-5608-6144 (2009) Using infectious intestinal disease surveillance data to explore illness aetiology; a cryptosporidiosis case study. Health and Place, 15 (1). pp. 333-339. ISSN 1873-2054

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Abstract

Infectious intestinal disease (IID) surveillance data are an under-utilised information source on illness geography. This paper uses a case study of cryptosporidiosis in England and Wales to demonstrate how these data can be converted into area-based rates and the factors underlying illness geography investigated. Ascertainment bias is common in surveillance datasets, and we develop techniques to investigate and control this. Rural areas, locations with many livestock and localities with poor water treatment had elevated levels of cryptosporidiosis. These findings accord with previous research validating the techniques developed. Their use in future studies investigating IID geography is therefore recommended.

Item Type:	Article
Additional Information:	This article is available under a CC-BY Creative Commons license
Faculty \ School:	Faculty of Science > School of Environmental Sciences Faculty of Medicine and Health Sciences > Norwich Medical School
Depositing User:	Rosie Cullington
Date Deposited:	23 Feb 2011 10:17
Last Modified:	20 Mar 2023 15:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/24469
DOI:	10.1016/j.healthplace.2008.06.005

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