Analysing spatially referenced public health data: a comparison of three methodological approaches
Analysing spatially referenced public health data: a comparison of three methodological approaches
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.
public health data, epidemiology, GIS, point pattern analysis tradict
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Dunn, C.
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Kingham, S.
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Rowlingson, B.
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Bhopal, R.
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Cockings, S.
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Foy, C.
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Acquilla, S.
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Halpin, J.
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Diggle, P.
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Walker, D.
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March 2001
Dunn, C.
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Kingham, S.
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Rowlingson, B.
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Bhopal, R.
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Cockings, S.
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Foy, C.
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Acquilla, S.
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Halpin, J.
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Diggle, P.
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Walker, D.
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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), .
(doi:10.1016/S1353-8292(00)00033-2).
Abstract
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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More information
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
Identifiers
Local EPrints ID: 16129
URI: http://eprints.soton.ac.uk/id/eprint/16129
ISSN: 1353-8292
PURE UUID: aca7b213-a9aa-4fc8-a73e-85aeae224b78
Catalogue record
Date deposited: 21 Jun 2005
Last modified: 16 Mar 2024 03:21
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Contributors
Author:
C. Dunn
Author:
S. Kingham
Author:
B. Rowlingson
Author:
R. Bhopal
Author:
C. Foy
Author:
S. Acquilla
Author:
J. Halpin
Author:
P. Diggle
Author:
D. Walker
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