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Modeling and Analyzing the Dynamics of COVID-19: An Examination using the SIR Epidemic Model
Abstract
The COVID-19 pandemic has presented an unparalleled challenge to global health, demanding a nuanced understanding of its transmission dynamics for effective mitigation strategies. In this research paper, we employ the Susceptible-Infectious-Recovered (SIR) epidemic model as a fundamental framework to delve deeply into the intricacies of COVID-19 spread. Integrating data, mathematical modeling, and statistical analysis, our study aims to elucidate critical aspects of the pandemic, including transmission rates, peak infection periods, and the impact of public health interventions. Through a rigorous examination of the SIR model, we seek to provide valuable insights that go beyond basic epidemiological assessments, offering a comprehensive perspective on the evolving dynamics of the pandemic. This research contributes to the broader discourse on infectious disease modeling, equipping policymakers, healthcare professionals, and researchers with evidence-based tools to navigate the complexities of the ongoing COVID-19 crisis.
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References
1. A. Christie; S.J. Henley; L. Mattocks; R. Fernando; A. Lansky; F.B. Ahmad; J. Adjemian; R.N. Anderson;
A.M. Binder; K. Carey; D.L. Dee; T. Dias; W.M. Duck; D.M. Gaughan; B.C. Lyons; A.D. McNaghten;
M.M. Park; H. Reses; L. Rodgers; K.V. Santen; D. Walker; M.J. Beach; Decreases in COVID-19 Cases,
Emergency Department Visits, Hospital Admissions, and Deaths Among Older Adults Following the
Introduction of COVID-19 Vaccine United States, September 6, 2020–May 1, 2021. Morbidity and
Mortality Weekly Report, 70(23), 858-864 (2021).
2. A. Kartono; S.V. Karimah; S.T. Wahyudi; A.A. Setiawan and I. Sofian; Forecasting the Long-Term Trends
of Coronavirus Disease 2019 (COVID-19) Epidemic using the Susceptible-Infectious-Recovered (SIR)
Model. Infectious Disease Reports, 13(3), 668-684 (2021).
3. A. Talukder; Susceptible Infectious Recovered (SIR) Model based Forecasting of COVID-19 Outbreak in
Bangladesh. International Journal of Clinical Practice, 74(11), p. e13648 (2020).
4. C. Xia; L. Wang; S. Sun and J. Wang; An SIR Model with Infection Delay and Propagation Vector in
Complex Networks. Nonlinear Dynamics 69, 927-934 (2012).
5. E. Vynnycky and R. White; An Introduction to Infectious Disease Modelling. OUP Oxford (2010).
6. H.H. Weiss; The SIR Model and the Foundations of Public Health. Materials Matemàtics, 2013(3), 1-17
(2013).
7. G. Gaeta; A Simple SIR Model with a Large Set of Asymptomatic Infectives. Mathematics in Engineering,
3(2): 1-39 (2020).
8. G.M. Schütz; M. Brandaut and S. Trimper; Exact Solution of a Stochastic Susceptible-Infectious-
Recovered Model. Physical Review E, 78(6), p. 061132 (2008).
9. https://fr.freepik.com/vecteurs-premium/concept-virus-corona-covid-icone-coronavirus-illustration-virus-
pandemie-corona-virus_37885552.htm
10. I. Cooper; A. Mondal and G.A. Chris; A SIR Model Assumption for the Spread of COVID-19 in Different
Communities. Chaos, Solitons & Fractals, 139, p. 110057 (2020).
11. J.N. Erni and T. Striphas; Introduction: COVID-19, The Multiplier. The Cultural Politics of COVID-19, 1st
Edition, Routledge (2022).
12. M.A. Tortorici and D. Veesler; Structural Insights into Coronavirus Entry. Advances in virus research,
105, 93-116 (2019).
13. P. Daszak; T.K. Gerald; L.P. Alexandra; K.J. Christine and T.O. Michael; Infectious Disease Threats: A
Rebound to Resilience. Health Affairs, 40(2), 204-211 (2021).
14. P. Holme; Model Versions and Fast Algorithms for Network Epidemiology, Journal of Logistical
Engineering University 30, 1-7 (2014). DOI: https://doi.org/10.3969/j.issn.1672-7843.2014.03.001.
15. P. Magal and S. Ruan; Susceptible-Infectious-Recovered Models Revisited: From the Individual Level to
the Population Level. Mathematical Biosciences, 250 26-40 (2014).
16. P.W. Wagh; R. Raut; S. Kumbhalkar and R.K. Deepak; Structure of Coronavirus, ECS Transactions,
107(1), p. 17297 (2022).
17. S. Balasubramanian and C. Fernandes; Confirmation of a Crisis Leadership Model and Its Effectiveness:
Lessons from the COVID-19 Pandemic. Cogent Business and Management, 9(1), p. 2022824 (2022).

ISSN(P) 2350-0174

ISSN(O) 2456-2378

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