ADAMS: an object-oriented system for epidemiological data manipulation

In epidemiology it is extremely useful to compare the observed trends of various phenomena with the expected trends in order to find out abnormal morbid phenomena: in statistical databases (SDBS) this means performing table manipulation on aggregated data (macro data). The table manipulation are often implemented in different ways. since different aggregate fimctions are used to generate different kinds of macro data (data type) from disaggregated data. Therefore, logically similar manipulations at macro data level need to be defined separately and ad-hoc by the user for each data type. We propose to model macro data using an object-oriented approach with an instsnceinheritance mechanism, which allows the user to manage an SDB without having to explicitly deal with the different data types (automatic data type management). In the paper we describe the static and dynamic properties of our object oriented-model; the metaschema of statistical database system embodying such concepts (ADAMS: Aggregated DAta Management System) and the advantages of our system are

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