The Complex Systems for Conflict Interaction Modelling to Describe a Non-Trivial Epidemiological Situation

Svajone Bekesiene, Igor Samoilenko, Anatolij Nikitin and Ieva Meidute-Kavaliauskiene
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Svajone Bekesiene: General Jonas Zemaitis Military Academy of Lithuania, Research Group on Logistics and Defence Technology Management, Silo 5a, 10322 Vilnius, Lithuania
Igor Samoilenko: Department of Operations Research, Taras Shevchenko National University of Kyiv, UA-03680 Kyiv, Ukraine
Anatolij Nikitin: Department of Applied Research, The National University of Ostroh Academy, UA-03580 Ostroh, Ukraine
Ieva Meidute-Kavaliauskiene: General Jonas Zemaitis Military Academy of Lithuania, Research Group on Logistics and Defence Technology Management, Silo 5a, 10322 Vilnius, Lithuania

Mathematics, 2022, vol. 10, issue 4, 1-24

Abstract: This study investigates a complex system that describes a non-trivial epidemiological model with integrated internal conflict (interregional migration) on the example of cyclic migration using the software. JetBrains PyCharm Community Edition 2020.3.3, a free and open-source integrated development environment (IDE) in the Python programming language, was chosen as the software development tool. The Matplotlib 3.5 library was used to display the modelling results graphically. The integration of internal conflict into the model revealed significant and notable changes in its behavior. This study’s results prove that not only the characteristics of the interaction factors but also the size of the values determine the direction of migration concerning relation to competitors.

Keywords: susceptible-infected-removed (SIR) model; Lotka–Volterra model; epidemiological situation; risk assessment; risk analysis; crisis management (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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