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WebGIS based on spatio-temporal hot spots: an application to oto-laryngo-pharyngeal diseases

Authors :
Maria Rosaria Barillari
U Barillari
Roberta Mele
Ferdinando Di Martino
Salvatore Sessa
Di Martino, F
Mele, R
Sessa, S
Barillari, Umberto E. S.
Barillari, M. R.
Di Martino, Ferdinando
Mele, Roberta
Sessa, Salvatore
Barillari, Maria Rosaria
Source :
Soft Computing. 20:2135-2147
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

We present a web geo-spatial framework for analyzing and continuously monitoring the spatio-temporal evolution of disease hot spots for detecting spatial areas with high concentrations of events in a geographic information system (GIS). To detect the hot spots, we adopt Extended Fuzzy C-Means algorithm. Each event is given by the geo-positional coordinates of the place of residence of the patient. The analyst can insert event data directly on the map or digitizing the address of the residence of the patient and using geo-coding services for locating the event. In our experiments, the data consist of geo-referenced patterns corresponding to the residence of patients in the district of Naples (Italy) submitted to a surgical intervention concerning the oto-laryngo-pharyngeal apparatus between the years 2008 and 2012. The results show the presence of two greatest hot spots: the first covers a geographical area that affects the city of Naples, the second covers parts of various towns around the famous vulcan Vesuvius, respectively. We present a web geo-spatial framework for analyzing and continuously monitoring the spatio-temporal evolution of disease hot spots for detecting spatial areas with high concentrations of events in a geographic information system (GIS). To detect the hot spots, we adopt Extended Fuzzy C-Means algorithm. Each event is given by the geo-positional coordinates of the place of residence of the patient. The analyst can insert event data directly on the map or digitizing the address of the residence of the patient and using geo-coding services for locating the event. In our experiments, the data consist of geo-referenced patterns corresponding to the residence of patients in the district of Naples (Italy) submitted to a surgical intervention concerning the oto-laryngo-pharyngeal apparatus between the years 2008 and 2012. The results show the presence of two greatest hot spots: the first covers a geographical area that affects the city of Naples, the second covers parts of various towns around the famous vulcan Vesuvius, respectively.

Details

ISSN :
14337479 and 14327643
Volume :
20
Database :
OpenAIRE
Journal :
Soft Computing
Accession number :
edsair.doi.dedup.....1d16d9e584e746aa3aa2d9468a670366
Full Text :
https://doi.org/10.1007/s00500-015-1626-4