Int. J. Environ. Res. Public Health 2013, 10(10), 5011-5025; doi:10.3390/ijerph10105011
Article

Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk

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Received: 25 August 2013; in revised form: 1 October 2013 / Accepted: 8 October 2013 / Published: 14 October 2013
(This article belongs to the Special Issue Spatial Epidemiology)
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Abstract: This paper considers estimation of disease prevalence for small areas (neighbourhoods) when the available observations on prevalence are for an alternative partition of a region, such as service areas. Interpolation to neighbourhoods uses a kernel method extended to take account of two types of collateral information. The first is morbidity and service use data, such as hospital admissions, observed for neighbourhoods. Variations in morbidity and service use are expected to reflect prevalence. The second type of collateral information is ecological risk factors (e.g., pollution indices) that are expected to explain variability in prevalence in service areas, but are typically observed only for neighbourhoods. An application involves estimating neighbourhood asthma prevalence in a London health region involving 562 neighbourhoods and 189 service (primary care) areas.
Keywords: disease prevalence; spatial interpolation; neighbourhoods; asthma; kernel
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Congdon, P. Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk. Int. J. Environ. Res. Public Health 2013, 10, 5011-5025.

AMA Style

Congdon P. Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk. International Journal of Environmental Research and Public Health. 2013; 10(10):5011-5025.

Chicago/Turabian Style

Congdon, Peter. 2013. "Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk." Int. J. Environ. Res. Public Health 10, no. 10: 5011-5025.


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