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- W2084595428 abstract "In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In order to better exploit these data, temporal and spatial dimensions could be managed considering them as meta-data useful to retrieve classical data. In this paper, we propose to use a framework for spatio-temporal granularities with the aim to improve the querying of clinical spatio-temporal data. We show how granularities can be used to enrich a psychiatric case register. We exemplify our approach reporting spatio-temporal queries, based on granularities, useful for epidemiological studies." @default.
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- W2084595428 date "2012-06-01" @default.
- W2084595428 modified "2023-09-23" @default.
- W2084595428 title "Dealing with multigranular spatio-temporal databases to manage psychiatric epidemiology data" @default.
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- W2084595428 doi "https://doi.org/10.1109/cbms.2012.6266320" @default.
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