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

Health & Place
Iain R LakeP R Hunter

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.

References

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Apr 5, 2003·Journal of Applied Microbiology·P R Hunter
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Aug 25, 2004·Emerging Infectious Diseases·Paul R HunterKeith Osborn
Feb 8, 2006·Journal of Water and Health·Iain R LakeGordon L Nichols
Sep 25, 2007·European Journal of Epidemiology·Iain R LakeChris Grundy

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Citations

Jul 6, 2012·Clinical Microbiology Reviews·Stephanie M FletcherJohn Ellis
Nov 26, 2009·International Journal of Health Geographics·Mary CallaghanDiarmuid O'Donovan
Oct 16, 2014·International Journal of Environmental Research and Public Health·Erin A DreelinJoan B Rose
Dec 9, 2017·Environmental Health : a Global Access Science Source·Iain R Lake

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