Abstract:
:The availability of large data sets together with the growth in power and storage capabilities of computers have made the analysis of the spatial distribution of disease rates an increasingly important tool in public health research. Use of existing geographic divisions or groupings tends to result either in unstable estimates of disease rates if the corresponding populations are small or in loss of spatial resolution if the areas are unnecessarily large. This paper describes a computer algorithm for combining existing geographic areas into regions with populations large enough to diminish spurious variability in disease rates while limiting the loss in resolution. The method is demonstrated using Medicare hospital admissions data for pneumonia and central nervous system cancer. Disease rates were calculated for both predefined regions and those generated by the algorithm and their frequency distributions were compared. The algorithm produces more stable rates over a variety of diseases and provides substantially more flexibility than the use of predefined aggregations.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Morris RD,Munasinghe RLdoi
10.1002/sim.4780121916subject
Has Abstractpub_date
1993-10-01 00:00:00pages
1915-29issue
19-20eissn
0277-6715issn
1097-0258journal_volume
12pub_type
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