Abstract
The geographical approach towards the examination of diseases, or spatial health research, primarily focuses on the mapping of diseases and the correlation of spatial distributions by comparing two or more variables. The purpose is to disclose possible spatially determined aspects of disease etiology or even to help in defining hypotheses to be tested in comprehensive epidemiological research. In particular, exploratory spatial analysis could provide valuable instruments for spatial health research, given the fact that disease data are available but that models representing the real world are largely absent. These tools can help solving health research questions from a geographical perspective such as: “What is the spatial distribution of the disease under consideration?”, “Can we detect patterns?” and “What are the possible coincidences with disease-causing factors?”. In this chapter an attempt will be made to provide an overview of some useful analytical techniques in the context of health research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alexander, F., R.A. Cartwright & P.M. McKinney (1988). A comparison of recent statistical techniques of testing for spatial clustering: preliminary results. In: P. Elliot, ed. Methodology of Enquiries into Disease Clustering. London, Small Area Health Statistics Unit, London School of Hygiene and Tropical Medicine, London
Anselin, L. & A. Getis (1991). Spatial statistical analysis and geographical information systems. Paper presented at the 31st European Congress of the Regional Science Association, Lisbon, Portugal.
Bailey, T.C. (1992). Statistical spatial analysis & geographical information systems: a review of the potential & progress in the state of the art. In: Proceedings of the EGIS’92 Conference. Utrecht, EGIS Foundation.
Brown, P.J.B., P.W.J. Batey, A. Hirschfield & J. Marsden (1990). Poisson square mapping, GIS and geodemographic analysis. Liverpool, Department of Civic Design, University of Liverpool (Working paper 18, URPERRL).
Clayton, D. & J. Kaldor (1987). Empirical Bayes estimates of age-standardised relative risks for use in disease-mapping. Biometrics, 43: 671–681.
Cliff, A.W. & P. Haggett (1988). Atlas of the distribution of diseases, analytical approaches to epidemiological data. Oxford, Basil Blackwell Ltd.
Cuzick, J. & R. Edwards (1990). Spatial clustering for inhomogeneous populations. J R Stat Soc B, 52: 73–104.
Diggle, PJ. (1990). Second-order analysis of spatial clustering for inhomogeneous populations. Lancaster, Technical Report MA90/35, Lancaster University.
Evans, I.S. (1977). The selection of class intervals. Trans Inst Brit Geogr n.s., 2: 98–124.
Gatrell, A.C. (1990). On modelling spatial points in epidemiology: cancer of the larynx in Lancashire. Lancaster, Lancaster University (North West Regional Research Laboratory, Research Report 9).
Gatrell, A.C. & C.E. Dunn (1990). GIS in epidemiological research: analyzing cancer of the larynx in north-west England. Lancaster, Lancaster University (North West Regional Research Laboratory, Research Report 12).
Gatrell, A.C, J.D. Mitchell, H.N. Gibson & P.J. Diggle (1991). Tests for spatial clustering in epidemiology: with special reference to motor neurone disease Lancaster, Lancaster University (North West Regional Research Laboratory, Research Report 19).
Goodchild, M.F. (1985). Spatial autocorrelation. Norwich, Geo Books (CATMOG No. 47).
Goodchild, M.F. (1987). A spatial analytical perspective on geographical information systems. Int J Geogr Inf Systems, 1: 327–334.
Haslett, J., G. Wills and A. Unwin (1990). SPIDER-an interactive statistical tool for the analysis of spatially distributed data. Int J Geogr Inf Systems, 4: 285–296.
Hirschfield, A., P.W.J. Batey, P.J.B. Brown & J. Marsden (1990). The spatial epidemiology of food poisoning in Blackpool, Wyre and Pylde: preliminary results. Liverpool, Department of Civic Design, University of Liverpool (Working paper 14, URPERRL).
Kehris, E. (1990). Spatial correlation statistics in ARC/INFO. Lancaster, Lancaster University. (North West Regional Research Laboratory, Research Report 16).
Kennedy, S. (1988). A geographical regression model for medical statistics. Soc Sci and Med, 26: 119–129.
King, P.E. (1979). Problems of spatial analysis in geographical epidemiology. Soc Sci and Med, 13D: 249–52.
Lovett, A.A., C.G. Bentham & R. Flowerdew (1986). Analyzing geographic variations in mortality using Poisson regression: the example of ischaemic heart disease in England and Wales 1969–1973. Soc Sci and Med, 23: 935–423.
Matthews, S.A. (1990). Epidemiology using a GIS: the need for caution. Comput environment and urban systems, 14: 213–221.
Moran, P.A.P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37: 27–23.
Openshaw, S., M. Charlton, C. Wymer & A. Craft (1987). A Mark I geographical analysis machine for the automated analysis of point data sets. Int J Geogr Inf Systems, 4: 335–358.
Openshaw, S., A. Cross & M. Charlton (1990). Building a prototype geographical correlates exploration machine. Int J Geogr Inf Systems, 3: 297–312.
Openshaw, S. (1991). Spatial analysis and GIS: a review of progress and possibilities. In: J.H. Scholten & J.C.H. Stillwell, ed. Geographical information systems for urban and regional planning. Dordrecht, Kluwer Academic Press.
Openshaw, S. (1992). Developing appropriate spatial analysis methods for GIS. In: Maquire, D.J, M.F. Goodchild & D.W. Rhind, ed. Geographical information systems: principles and applications. London, Longman.
Picheral, H. (1982). Géographie médicale, géographie des maladies, géographie de la sancté. Espace Géogr, 11(3): 161–75.
Pyle, G.F. (1977). International communication and medical geography. Soc sci med, 11: 679–682.
Ripley, B.D. (1981). Spatial statistics. London, John Wiley & Sons.
Scholten H.J. & M.J.C. de Lepper (1990). The benefits of the application of GIS in public and environmental health. World Health Stat Q, 44: 160–170.
Tobler, W. (1979). Cellular geography. In: S. Gale & G. Olsson, ed. Philosophy in geography. Dordrecht, Reidel pp. 379–386.
Tukey, J.W. (1977). Explorative data analysis. Boston, Addison Wesley.
Unwin, D. (1981). Introductory spatial analysis. London, Methuen.
Upton, GJ. & B. Fingleton (1985). Spatial statistics by example. Vol. 1. Point patterns and quantative data. New York, John Wiley & Sons
van Beurden, A.U.C.J. (1992). Analytical capabilities and possibilities of GIS in environmental research. In: Proceedings of the EGIS’92 Conference. Urecht, EGIS Foundation
van der Veen, A.A. (1992). GIS awareness in epidemiology and environmental studies. In: Proceedings of the EGIS’92 Conference. Utrecht, EGIS Foundation.
WHO (1990). Environment and health: the European Charter and commentary. Copenhagen, WHO Regional Office for Europe (WHO Regional Publications, European Series No. 35).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Kluwer Academic Publishers
About this chapter
Cite this chapter
Douven, W., Scholten, H.J. (1995). Spatial Analysis in Health Research. In: De Lepper, M.J.C., Scholten, H.J., Stern, R.M. (eds) The Added Value of Geographical Information Systems in Public and Environmental Health. The GeoJournal Library, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-31560-7_8
Download citation
DOI: https://doi.org/10.1007/978-0-585-31560-7_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-1887-3
Online ISBN: 978-0-585-31560-7
eBook Packages: Springer Book Archive