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Studying neonatal TSH distribution by using GIS

Authors:

Sergio GrecoAuthors Info & Claims

HealthGIS '12: Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health

Pages 36 - 39

https://doi.org/10.1145/2452516.2452523

Published: 06 November 2012 Publication History

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Abstract

Geographical Information Systems, i.e. GIS, are used to help communities in managing data related to their geographical location. Associating textual data with spatial extension and time can be crucial to understand and improve human health. Exploiting available data and extracting new knowledge can lead to disease distribution and migration models (e.g., epidemiology).

In this paper we report the experience of using GIS technologies to analyze clinical data containing TSH values about newborn in a spatially delimited region. TSH neonatal screening has been performed on blood of newborn with the aim to discover diseases at an early stage and to study the detect any possible arise of hypothyroidism. We present a flexible geographical system called Geomedica which is being used to analyze such data according to a two steps approach: (i) study of the last 10 years of data distribution in an Italian region with over 18 thousands newborn per year and (ii) identify possible clusters by querying and projecting results geometry on a thematic map.

Queries performed on the available dataset were able to correctly correlate health data about patients with geographical features (e.g. points of interest, boundaries, coastline vectors) and to visualize diseases distributions on a geographical map. However, the proposed queries may be considered as an important starting point for similar environment dependent pathologies.

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Tradigo GVizza PBrescia GGuzzi PVeltri P(2019)A geographical patients based health information system2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM47256.2019.8983079(2300-2303)Online publication date: Nov-2019
https://doi.org/10.1109/BIBM47256.2019.8983079
Canino GGuzzi PTradigo GZhang AVeltri P(2017)On the Analysis of Diseases and Their Related Geographical DataIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.249642421:1(228-237)Online publication date: Jan-2017
https://doi.org/10.1109/JBHI.2015.2496424
Kusrini KPurwanto MKirana KLaksito A(2017)GIS technology selection for visualization of independent economic modeling of former Woman Migrant Worker (WMW)2017 5th International Conference on Cyber and IT Service Management (CITSM)10.1109/CITSM.2017.8089257(1-5)Online publication date: Aug-2017
https://doi.org/10.1109/CITSM.2017.8089257

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Studying neonatal TSH distribution by using GIS

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Published In

HealthGIS '12: Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health

November 2012

93 pages

ISBN:9781450317030

DOI:10.1145/2452516

Program Chairs:
Peter Bak
IBM Haifa Research Labs, Israel
,
Daniel W. Goldberg
University of Southern California
,
James L. Horey
Oak Ridge National Laboratory
,
Yaron Kanza
Technion - Israel Institute of Technology, Israel

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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New York, NY, United States

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Published: 06 November 2012

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SIGSPATIAL'12: SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems

November 6, 2012

California, Redondo Beach

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Tradigo GVizza PBrescia GGuzzi PVeltri P(2019)A geographical patients based health information system2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM47256.2019.8983079(2300-2303)Online publication date: Nov-2019
https://doi.org/10.1109/BIBM47256.2019.8983079
Canino GGuzzi PTradigo GZhang AVeltri P(2017)On the Analysis of Diseases and Their Related Geographical DataIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.249642421:1(228-237)Online publication date: Jan-2017
https://doi.org/10.1109/JBHI.2015.2496424
Kusrini KPurwanto MKirana KLaksito A(2017)GIS technology selection for visualization of independent economic modeling of former Woman Migrant Worker (WMW)2017 5th International Conference on Cyber and IT Service Management (CITSM)10.1109/CITSM.2017.8089257(1-5)Online publication date: Aug-2017
https://doi.org/10.1109/CITSM.2017.8089257

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Descriptive Epidemiology of Neonatal Mortality in Gowa District 2015

Methodological Review: Health GIS and HIV/AIDS studies: Perspective and retrospective

Geographical information systems (GIS) and epidemiology of vector diseases: case of leishmaniasis in the Fez-Meknes, region of Morocco

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