EPIGUI: Graphical User Interface for Simulating Epidemics on Networks

Author(s)

E. R. PINTO ^[1] ; E. G. NEPOMUCENO ^[2] ; J. KUSAK ^[3] ; A. S. L. O. CAMPANHARO ^[4]

Affiliation

^[1] São Paulo State University. Institute of Biosciences. Department of Biostatistics - Brasil

^[2] Maynooth University. Centre for Ocean Energy Research and Department of Electronic Engineering - Irlanda

^[3] AGH University of Science and Technology. Faculty of Computer Science, Electronics and Telecommunications - Polônia

^[4] São Paulo State University. Institute of Biosciences. Department of Biostatistics - Brasil

• Document type: Journal article
• Source: Trends in Computational and Applied Mathematics; v. 24, n. 1, p. 91-120, 2023-03-27.

Abstract

ABSTRACT This paper presents a graphical interface called EPIGUI, which allows the study of the dynamics of an infectious disease spread using compartmental models in combination with complex networks. This interface aims at considering stochastic factors that govern the evolution of an infection in a network. Moreover, it provides simple tools to create networks of agents and to define the epidemiological parameters of outbreaks. There are six common infectious disease models (SI, SIS, SIR, SIRS, SEIR, and SEIRS) or a user can provide another model, combining compartments. Moreover, in the simulations the user can either include a synthetic network generated according to a network model (random, small-world, scalefree, modular, or hierarchical) or a real network. This approach can help understand the paths followed by outbreaks in a given community and design new strategies to prevent and to control them. (AU)

• FAPESP's process: 18/25358-9 - Use of complex networks for the automatic detection, diagnosis and classification of the Alzheimer's Disease
• Grantee: Andriana Susana Lopes de Oliveira Campanharo
• Support Opportunities: Regular Research Grants