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.

Dealing with multigranular spatio-temporal databases to manage psychiatric epidemiology data

BELUSSI, Alberto;COMBI, Carlo;POZZANI, Gabriele;AMADDEO, Francesco;RAMBALDELLI, Gianluca;SALAZZARI, Damiano
2012

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.
978-1-4673-2051-1
spatial granularity; spatio-temporal granularity; spatial relationships; spatiotemporal relationships; spatial epidemiology; psychiatric case register
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/428352
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