ArticleMathematical methods in the applied sciences2022
Evaluation of COVID-19 pandemic spreading using computational analysis on nonlinear SITR model.
Article in Mathematical methods in the applied sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Designing a novel fractional order mathematical model for COVID-19 incorporating lockdown measures.Scientific reports · 2024Article
- Evaluation of COVID-19 pandemic spreading using computational analysis on nonlinear SITR model.Mathematical methods in the applied sciences · 2022Article
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2 authors.
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Abstract
The main purpose of present paper is to investigate the nonlinear model of COVID-19 (novel coronavirus) computationally. The SITR model is designed according to four classifications of Susceptible (S), Infectious (I), Treatment (T) and Recovered (R). Two convenient and effective numerical techniques namely the Adams-Bashforth Method (ABM) and Milne-Simpson Method (MSM) are employed to analyze the epidemic model. The influences of the contact rate parameter (β), recovery parameter (μ) and death parameter (α) on the variables including S, I and R are studied comprehensively. The obtained findings indicate that by increasing the contact rate parameter the infectious and recovered categories enhance but the susceptible mechanism decreases.
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