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

Timilsina Mohan, Duboz Raphaël, Takeda Hideaki. 2014. Spatial explicit model to visualize the spread of epidemic disease in a network. 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.

Résumé : 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.

Classification Agris : U10 - Informatique, mathématiques et statistiques
L73 - Maladies des animaux
S50 - Santé humaine

Auteurs et affiliations

• Timilsina Mohan, AIT (THA)
• Duboz Raphaël, CIRAD-ES-UPR AGIRs (THA) ORCID: 0000-0002-2853-6195
• Takeda Hideaki, NII (JPN)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/573352/)

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