Copyright (c) 1997 Elsevier Science Ireland Ltd.
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To identify and link populations and individuals that live within high risk areas.
Census registers and disease registers which contain data on individuals can only give aggregate statistics relating to postal code districts, town, county or state boundaries.
However environmental risk factors rarely, if ever, respect these man-made boundaries.
What is needed is a method to rapidly identify individuals who may live within a described area or region and to further identify the disease (s) occurring among these individuals and/or in these areas.
This paper describes a method for linking the standard registers available in Sweden, notably the residence-property addresses they contain and the geographical coordinate setting of these, to map the population as a point coverage.
Using standard GIS methods this coverage could be linked, merged or intersected with any other map to create new subsets of population.
Representation of populations down to the individual level by automatised spatialisation of available census data is in its simplicity a new informatics method which in the designated GIS medium adds a new power of resolution.
We demonstrate this using the radon maps provided by the local communes. (...)
Mots-clés Pascal : Analyse risque, Radiocontamination, Représentation cartographique, Radon, Informatique biomédicale, Système information, Recensement, Population, Méthode statistique, Suède, Europe
Mots-clés Pascal anglais : Risk analysis, Radioactive contamination, Cartographic representation, Radon, Biomedical data processing, Information system, Census, Population, Statistical method, Sweden, Europe
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0432560
Code Inist : 002B30A01C. Création : 19/12/1997.