Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes

P. Congdon (p.congdon@qmul.ac.uk)

Journal of Geographical Systems, 2003, vol. 5, issue 2, 184 pages

Abstract: A methodology is proposed for modelling spatially varying predictor effects on a disease or mortality count outcome. The methodology may be extended to multivariate outcomes, so that one may assess the similarity of spatial patterning of regression effects between outcomes. Another extension involves longitudinal data, where a number of modelling structures are possible. The methodology is illustrated by suicide mortality in 32 London Boroughs over the period 1979–1993, in terms of area deprivation and a measure of social fragmentation. Copyright Springer-Verlag Berlin Heidelberg 2003

Keywords: spatial heterogeneity, suicide, random effects, epidemiology, health resourcing, C21; C23; C25; C11; I12, (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:kap:jgeosy:v:5:y:2003:i:2:p:161-184

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DOI: 10.1007/s10109-003-0099-7

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