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

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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.

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Acknowledgments

The first and third author realized this work in the context of the project FARO financed from “Polo delle Scienze e delle Tecnologie” of the Università degli Studi di Napoli Federico II, Italy. We thank the referees for a careful reading of this paper, whose suggestions have greatly improved the presentation.

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Authors and Affiliations

  1. Dipartimento di Architettura, Universitá degli Studi di Napoli Federico II, Napoli, Italy

    Ferdinando Di Martino, Roberta Mele & Salvatore Sessa

  2. Centro Interdipartimentale di Ricerca BAP, Via Toledo 402, 80134, Napoli, Italy

    Salvatore Sessa

  3. Dipartimento di Psichiatria, Neuropsichiatria Infantile, Audiofoniatria e Dermatovenereologia, Seconda Università degli Studi di Napoli, Largo Madonna delle Grazie, 80138, Napoli, Italy

    Umberto E. S. Barillari & Maria Rosaria Barillari

Authors
  1. Ferdinando Di Martino
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  2. Roberta Mele
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  3. Salvatore Sessa
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  4. Umberto E. S. Barillari
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  5. Maria Rosaria Barillari
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Corresponding author

Correspondence to Salvatore Sessa.

Additional information

Communicated by V. Loia.

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Di Martino, F., Mele, R., Sessa, S. et al. WebGIS based on spatio-temporal hot spots: an application to oto-laryngo-pharyngeal diseases. Soft Comput 20, 2135–2147 (2016). https://doi.org/10.1007/s00500-015-1626-4

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  • DOI: https://doi.org/10.1007/s00500-015-1626-4

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