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Spatial Analysis in Health Research

  • Wim Douven
  • Henk J. Scholten
Part of the The GeoJournal Library book series (GEJL, volume 24)

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.

Keywords

Geographical Information System Geographical Information System Spatial Autocorrelation Spatial Analysis Spatial Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 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, LondonGoogle Scholar
  2. 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.Google Scholar
  3. 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.Google Scholar
  4. 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).Google Scholar
  5. Clayton, D. & J. Kaldor (1987). Empirical Bayes estimates of age-standardised relative risks for use in disease-mapping. Biometrics, 43: 671–681.CrossRefGoogle Scholar
  6. Cliff, A.W. & P. Haggett (1988). Atlas of the distribution of diseases, analytical approaches to epidemiological data. Oxford, Basil Blackwell Ltd.Google Scholar
  7. Cuzick, J. & R. Edwards (1990). Spatial clustering for inhomogeneous populations. J R Stat Soc B, 52: 73–104.Google Scholar
  8. Diggle, PJ. (1990). Second-order analysis of spatial clustering for inhomogeneous populations. Lancaster, Technical Report MA90/35, Lancaster University.Google Scholar
  9. Evans, I.S. (1977). The selection of class intervals. Trans Inst Brit Geogr n.s., 2: 98–124.CrossRefGoogle Scholar
  10. 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).Google Scholar
  11. 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).Google Scholar
  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).Google Scholar
  13. Goodchild, M.F. (1985). Spatial autocorrelation. Norwich, Geo Books (CATMOG No. 47).Google Scholar
  14. Goodchild, M.F. (1987). A spatial analytical perspective on geographical information systems. Int J Geogr Inf Systems, 1: 327–334.CrossRefGoogle Scholar
  15. 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.CrossRefGoogle Scholar
  16. 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).Google Scholar
  17. Kehris, E. (1990). Spatial correlation statistics in ARC/INFO. Lancaster, Lancaster University. (North West Regional Research Laboratory, Research Report 16).Google Scholar
  18. Kennedy, S. (1988). A geographical regression model for medical statistics. Soc Sci and Med, 26: 119–129.CrossRefGoogle Scholar
  19. King, P.E. (1979). Problems of spatial analysis in geographical epidemiology. Soc Sci and Med, 13D: 249–52.Google Scholar
  20. 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.CrossRefGoogle Scholar
  21. Matthews, S.A. (1990). Epidemiology using a GIS: the need for caution. Comput environment and urban systems, 14: 213–221.CrossRefGoogle Scholar
  22. Moran, P.A.P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37: 27–23.Google Scholar
  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.CrossRefGoogle Scholar
  24. Openshaw, S., A. Cross & M. Charlton (1990). Building a prototype geographical correlates exploration machine. Int J Geogr Inf Systems, 3: 297–312.CrossRefGoogle Scholar
  25. 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.Google Scholar
  26. 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.Google Scholar
  27. Picheral, H. (1982). Géographie médicale, géographie des maladies, géographie de la sancté. Espace Géogr, 11(3): 161–75.Google Scholar
  28. Pyle, G.F. (1977). International communication and medical geography. Soc sci med, 11: 679–682.CrossRefGoogle Scholar
  29. Ripley, B.D. (1981). Spatial statistics. London, John Wiley & Sons.Google Scholar
  30. 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.Google Scholar
  31. Tobler, W. (1979). Cellular geography. In: S. Gale & G. Olsson, ed. Philosophy in geography. Dordrecht, Reidel pp. 379–386.Google Scholar
  32. Tukey, J.W. (1977). Explorative data analysis. Boston, Addison Wesley.Google Scholar
  33. Unwin, D. (1981). Introductory spatial analysis. London, Methuen.Google Scholar
  34. Upton, GJ. & B. Fingleton (1985). Spatial statistics by example. Vol. 1. Point patterns and quantative data. New York, John Wiley & SonsGoogle Scholar
  35. 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 FoundationGoogle Scholar
  36. van der Veen, A.A. (1992). GIS awareness in epidemiology and environmental studies. In: Proceedings of the EGIS’92 Conference. Utrecht, EGIS Foundation.Google Scholar
  37. WHO (1990). Environment and health: the European Charter and commentary. Copenhagen, WHO Regional Office for Europe (WHO Regional Publications, European Series No. 35).Google Scholar

Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • Wim Douven
    • 1
  • Henk J. Scholten
    • 1
  1. 1.Department of Regional EconomicsFree University AmsterdamAmsterdamThe Netherlands

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