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Analysing spatially referenced public health data: a comparison of three methodological approaches

Dunn, C., Kingham, S., Rowlingson, B., Bhopal, R., Cockings, S., Foy, C., Acquilla, S., Halpin, J., Diggle, P. and Walker, D. (2001) Analysing spatially referenced public health data: a comparison of three methodological approaches Health & Place, 7, (1), pp. 1-12.

Record type: Article


In the analysis of spatially referenced public health data, members of different disciplinary groups (geographers, epidemiologists and statisticians) tend to select different methodological approaches, usually those with which they are already familiar. This paper compares three such approaches in terms of their relative value and results. A single public health dataset, derived from a community survey, is analysed by using ‘traditional’ epidemiological methods, GIS and point pattern analysis. Since they adopt different ‘models’ for addressing the same research question, the three approaches produce some variation in the results for specific health-related variables. Taken overall, however, the results complement, rather than con or duplicate each other.

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Submitted date: 12 September 1999
Published date: March 2001
Keywords: public health data, epidemiology, GIS, point pattern analysis tradict
Organisations: PHEW – P (Population Health), Remote Sensing & Spatial Analysis


Local EPrints ID: 16129
ISSN: 1353-8292
PURE UUID: aca7b213-a9aa-4fc8-a73e-85aeae224b78

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Date deposited: 21 Jun 2005
Last modified: 19 Oct 2017 15:12

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Author: C. Dunn
Author: S. Kingham
Author: B. Rowlingson
Author: R. Bhopal
Author: S. Cockings
Author: C. Foy
Author: S. Acquilla
Author: J. Halpin
Author: P. Diggle
Author: D. Walker

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