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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University of Bamberg
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Subjects: | U10 - Informatique, mathématiques et statistiques, L73 - Maladies des animaux, S50 - Santé humaine, |
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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 |
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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 |
work_keys_str_mv |
AT timilsinamohan spatialexplicitmodeltovisualizethespreadofepidemicdiseaseinanetwork AT dubozraphael spatialexplicitmodeltovisualizethespreadofepidemicdiseaseinanetwork AT takedahideaki spatialexplicitmodeltovisualizethespreadofepidemicdiseaseinanetwork |
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1758024170476666880 |