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Authors: Lia Duarte ; Ana Cláudia Moreira Teodoro and Alberto Freitas

Affiliation: University of Porto, Portugal

ISBN: 978-989-758-252-3

Keyword(s): GIS, Open Source, Hospital Morbidity Database, Administrative Data, PostGIS.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Databases and Data Security ; Query Processing and Optimization

Abstract: Geographical Information Systems (GIS) capabilities are increasing in health area. GIS have been used to investigate global health studies due to the huge capabilities to manipulation, storage, management, analysis, modelling and mapping of geographical data. A simple and intuitive graphic interface to represent spatially an administrative database information would be a great usefulness to the health community. In this work, an open source application was developed in Python language under a GIS open source software (QGIS). The application, incorporated in GIS software, is composed by two tabs: Symbology and Mapping. In order to test the developed application, a zone from Porto Metropolitan Area and a database with administrative data, hospital morbidity database, was considered. This data was previously added to PostGIS (an open source database) and automatically connected to the application. The difficulty of health professionals in the creation of multiple visualizations of tabula r data defined by rigorous position, and the maps creation to later analysis and printing, can be overcome with this application. The large amount of data requires the connection to a free database in GIS environment enhancing the practical applicability, rapid, safe and efficient data representation. (More)

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Paper citation in several formats:
Duarte, L.; Teodoro, A. and Freitas, A. (2017). GIS Open Source Application as a Support to a Hospital Morbidity Database - Hospital GIS.In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 169-176. DOI: 10.5220/0006268901690176

@conference{gistam17,
author={Lia Duarte. and Ana Cláudia Moreira Teodoro. and Alberto Freitas.},
title={GIS Open Source Application as a Support to a Hospital Morbidity Database - Hospital GIS},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2017},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006268901690176},
isbn={978-989-758-252-3},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - GIS Open Source Application as a Support to a Hospital Morbidity Database - Hospital GIS
SN - 978-989-758-252-3
AU - Duarte, L.
AU - Teodoro, A.
AU - Freitas, A.
PY - 2017
SP - 169
EP - 176
DO - 10.5220/0006268901690176

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