Spatial explicit model to visualize the spread of epidemic disease in a network

The development of the visualization tool of any infectious spreading disease requires an elegant graphical user interface which can show the result of simulation at every time steps. The goal of this work is to provide an effective way to visualize epidemic diseases, e.g., flu, cholera, influenza, etc. in a network for the decision makers to determine the level of epidemic threats in any vulnerable zones. The Gravity and Susceptible, Infected and Recovered (SIR) epidemic models are used to draw a network on the map and simulate the disease status. Thus the results obtained are visualized to give a clear picture of spreading behavior of a disease. This visualization tool provides an understanding for the epidemical analysis of diseases through graphs and network statistics.

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Bibliographic Details
Main Authors: Timilsina, Mohan, Duboz, Raphaël, Takeda, Hideaki
Format: conference_item biblioteca
Language:eng
Published: University of Bamberg
Subjects:U10 - Informatique, mathématiques et statistiques, L73 - Maladies des animaux, S50 - Santé humaine,
Online Access:http://agritrop.cirad.fr/573352/
http://agritrop.cirad.fr/573352/1/document_573352.pdf
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spelling dig-cirad-fr-5733522022-04-15T09:19:44Z http://agritrop.cirad.fr/573352/ http://agritrop.cirad.fr/573352/ Spatial explicit model to visualize the spread of epidemic disease in a network. Timilsina Mohan, Duboz Raphaël, Takeda Hideaki. 2014. In : MMB and DFT 2014 Proceedings of the International Workshops SOCNET 2014 and FGENET 2014, Bamberg, Germany, 17-19 March 2014. Eds. Kai Fischbach, Marcel Grossmann, Udo R. Krieger, Thorsten Staake. Bamberg : University of Bamberg, 45-56. (Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg, 16) ISBN 978-3-86309-208-5 MMB and DFT 2014. 17, Bamberg, Allemagne, 17 Mars 2014/19 Mars 2014. Researchers Spatial explicit model to visualize the spread of epidemic disease in a network Timilsina, Mohan Duboz, Raphaël Takeda, Hideaki eng 2014 University of Bamberg MMB and DFT 2014 Proceedings of the International Workshops SOCNET 2014 and FGENET 2014, Bamberg, Germany, 17-19 March 2014 U10 - Informatique, mathématiques et statistiques L73 - Maladies des animaux S50 - Santé humaine The development of the visualization tool of any infectious spreading disease requires an elegant graphical user interface which can show the result of simulation at every time steps. The goal of this work is to provide an effective way to visualize epidemic diseases, e.g., flu, cholera, influenza, etc. in a network for the decision makers to determine the level of epidemic threats in any vulnerable zones. The Gravity and Susceptible, Infected and Recovered (SIR) epidemic models are used to draw a network on the map and simulate the disease status. Thus the results obtained are visualized to give a clear picture of spreading behavior of a disease. This visualization tool provides an understanding for the epidemical analysis of diseases through graphs and network statistics. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/573352/1/document_573352.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
spellingShingle U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
Timilsina, Mohan
Duboz, Raphaël
Takeda, Hideaki
Spatial explicit model to visualize the spread of epidemic disease in a network
description The development of the visualization tool of any infectious spreading disease requires an elegant graphical user interface which can show the result of simulation at every time steps. The goal of this work is to provide an effective way to visualize epidemic diseases, e.g., flu, cholera, influenza, etc. in a network for the decision makers to determine the level of epidemic threats in any vulnerable zones. The Gravity and Susceptible, Infected and Recovered (SIR) epidemic models are used to draw a network on the map and simulate the disease status. Thus the results obtained are visualized to give a clear picture of spreading behavior of a disease. This visualization tool provides an understanding for the epidemical analysis of diseases through graphs and network statistics.
format conference_item
topic_facet U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine
author Timilsina, Mohan
Duboz, Raphaël
Takeda, Hideaki
author_facet Timilsina, Mohan
Duboz, Raphaël
Takeda, Hideaki
author_sort Timilsina, Mohan
title Spatial explicit model to visualize the spread of epidemic disease in a network
title_short Spatial explicit model to visualize the spread of epidemic disease in a network
title_full Spatial explicit model to visualize the spread of epidemic disease in a network
title_fullStr Spatial explicit model to visualize the spread of epidemic disease in a network
title_full_unstemmed Spatial explicit model to visualize the spread of epidemic disease in a network
title_sort spatial explicit model to visualize the spread of epidemic disease in a network
publisher University of Bamberg
url http://agritrop.cirad.fr/573352/
http://agritrop.cirad.fr/573352/1/document_573352.pdf
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AT dubozraphael spatialexplicitmodeltovisualizethespreadofepidemicdiseaseinanetwork
AT takedahideaki spatialexplicitmodeltovisualizethespreadofepidemicdiseaseinanetwork
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