SIR Model Dynamics: Insights into Epidemics and Vaccination

Authors

  • Igor S. Konstantinov Belgorod State Technological University named after V.G. Shukhov
  • Taha A. Tariq Belgorod State National Research University
  • Denis N. Starchenko Belgorod State Technological University named after V.G. Shukhov

DOI:

https://doi.org/10.52575/2712-746X-2024-51-1-145-156

Keywords:

SIR Model, Epidemic Dynamics, Mathematical Modeling of Infectious Diseases, Vaccination Strategies, Contact Ratio and Disease Spread

Abstract

This research focuses on the SIR mathematical model, analyzing disease dynamics in populations. The SIR model classifies individuals into Susceptible, Infectives, and Removed categories, guided by differential equations and key assumptions. Addressing questions on disease spread, maximum infectives, total impact, epidemic cessation, and vaccination effects, the study emphasizes the contact ratio's role. A high contact ratio leads to widespread disease, influencing infective numbers and population impact. Epidemic cessation depends on reducing the contact ratio, enhancing recovery rates, and vaccination. The study underscores vaccination coverage's importance, considering effectiveness and population immunization for effective pandemic control, particularly relevant in the context of COVID-19.

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Author Biographies

Igor S. Konstantinov, Belgorod State Technological University named after V.G. Shukhov

Doctor of Technical Sciences, Professor, Institute of Information Technologies and Control Systems, Belgorod State Technological University named after V.G. Shukhov,
Belgorod, Russia.

Taha A. Tariq, Belgorod State National Research University

аспирант кафедры математического и программного обеспечения информационных систем, Белгородский государственный национальный исследовательский университет,
Белгород, Россия.

Denis N. Starchenko, Belgorod State Technological University named after V.G. Shukhov

Candidate of Technical Sciences, Associate Professor, Institute of Information Technologies and Control Systems, Belgorod State Technological University named after V.G. Shukhov,
Belgorod, Russia.

References

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Published

2024-03-30

How to Cite

Konstantinov, I. S., Tariq, T. A., & Starchenko, D. N. (2024). SIR Model Dynamics: Insights into Epidemics and Vaccination. Economics. Information Technologies, 51(1), 145-156. https://doi.org/10.52575/2712-746X-2024-51-1-145-156

Issue

Section

COMPUTER SIMULATION HISTORY