Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases

This paper presents a spatiotemporal analysis of hotspot areas based on the Extended Fuzzy C-Means method implemented in a geographic information system. This method has been adapted for detecting spatial areas with high concentrations of events and tested to study their temporal evolution. The data...

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Main Authors: Ferdinando Di Martino, Roberta Mele, Umberto E. S. Barillari, Maria Rosaria Barillari, Irina Perfilieva, Sabrina Senatore
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2013/385974
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author Ferdinando Di Martino
Roberta Mele
Umberto E. S. Barillari
Maria Rosaria Barillari
Irina Perfilieva
Sabrina Senatore
author_facet Ferdinando Di Martino
Roberta Mele
Umberto E. S. Barillari
Maria Rosaria Barillari
Irina Perfilieva
Sabrina Senatore
author_sort Ferdinando Di Martino
collection DOAJ
description This paper presents a spatiotemporal analysis of hotspot areas based on the Extended Fuzzy C-Means method implemented in a geographic information system. This method has been adapted for detecting spatial areas with high concentrations of events and tested to study their temporal evolution. The data consist of georeferenced patterns corresponding to the residence of patients in the district of Naples (Italy) to whom a surgical intervention to the oto-laryngopharyngeal apparatus was carried out between the years 2008 and 2012.
format Article
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institution Kabale University
issn 1687-7101
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-d65955e4913648299bdc5c636b2041c12025-02-03T01:28:58ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/385974385974Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal DiseasesFerdinando Di Martino0Roberta Mele1Umberto E. S. Barillari2Maria Rosaria Barillari3Irina Perfilieva4Sabrina Senatore5Universitá degli Studi di Napoli Federico II, Dipartimento di Architettura, Via Toledo 402, 80134 Napoli, ItalyUniversitá degli Studi di Napoli Federico II, Dipartimento di Architettura, Via Toledo 402, 80134 Napoli, ItalySeconda Università degli Studi di Napoli, Dipartimento di Psichiatria, Neuropsichiatria Infantile, Audiofoniatria e Dermatovenereologia, L.go Madonna delle Grazie, 80138 Napoli, ItalySeconda Università degli Studi di Napoli, Dipartimento di Psichiatria, Neuropsichiatria Infantile, Audiofoniatria e Dermatovenereologia, L.go Madonna delle Grazie, 80138 Napoli, ItalyCentre of Excellence IT4 Innovations, Institute for Research and Applications of Fuzzy Modelling, University of Ostrava, 30. dubna 22, 70103 Ostrava, Czech RepublicUniversitá degli Studi di Salerno, Dipartimento di Informatica, Via Ponte don Melillo, 80084 Fisciano, Salerno, ItalyThis paper presents a spatiotemporal analysis of hotspot areas based on the Extended Fuzzy C-Means method implemented in a geographic information system. This method has been adapted for detecting spatial areas with high concentrations of events and tested to study their temporal evolution. The data consist of georeferenced patterns corresponding to the residence of patients in the district of Naples (Italy) to whom a surgical intervention to the oto-laryngopharyngeal apparatus was carried out between the years 2008 and 2012.http://dx.doi.org/10.1155/2013/385974
spellingShingle Ferdinando Di Martino
Roberta Mele
Umberto E. S. Barillari
Maria Rosaria Barillari
Irina Perfilieva
Sabrina Senatore
Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
Advances in Fuzzy Systems
title Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
title_full Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
title_fullStr Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
title_full_unstemmed Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
title_short Spatiotemporal Hotspots Analysis for Exploring the Evolution of Diseases: An Application to Oto-Laryngopharyngeal Diseases
title_sort spatiotemporal hotspots analysis for exploring the evolution of diseases an application to oto laryngopharyngeal diseases
url http://dx.doi.org/10.1155/2013/385974
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