Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 24, 20 December 2023
Open
Access | Article
Modeling COVID-19 spreading — evidence from Canada
* Author to whom correspondence should be addressed.
Abstract
This study delves into the comprehensive examination of the COVID-19 pandemic that has been affecting the global community since late 2019. The repercussions have been ameliorated to some extent with the advent of effective vaccination campaigns, albeit the impact varies across regions and outbreaks. Beginning with an introduction to the fundamental epidemiological SIR (Susceptibility, Infection, Recovery) model, the research extrapolates it to reflect the complex dynamics of the COVID-19 scenario, employing data from Ontario, Canada, to ground the analysis in real-world observations. Several parameters and initial conditions inform the development of differential equations and ensuing line graphs within the scope of the extended VSEAIR (Vaccinated, Susceptible, Exposed, Asymptomatic Infected, Symptomatic Infected, and Recovered) model. The study scrutinizes the interplay of two pivotal aspects: the effectiveness of vaccination and the influence of governmental interventions. It offers a rigorous review of the trajectory of COVID-19 in Ontario, shedding light on potential strategies to optimize the response to the pandemic and contributing to evidence-based policymaking.
Keywords
COVID-19, SIR model, vaccination, VSEAIR model
References
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8. Mishra, B. K., Keshri, A. K., Rao, Y. S., Mishra, B. K., Mahato, B., Ayesha, S., Rukhaiyyar, B. P., Saini, D. K., & Singh, A. K. (2020). COVID-19 created chaos across the globe: Three novel quarantine epidemic models. Chaos, Solitons & Fractals, 138, 109928.
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Biological Engineering and Medical Science
- ISBN (Print)
- 978-1-83558-221-3
- ISBN (Online)
- 978-1-83558-222-0
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/24/20231093
- Copyright
- 20 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited