Evaluation of COVID-19 pandemic spreading using computational analysis on nonlinear SITR model.

Agaricus blazei

Respiratory

SpeciesAlmond Mushroom, ABM

JournalMathematical methods in the applied sciences

Year2022

Key points

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

Metadata-grounded summary

Citation 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.

Citation

Ghasemi SE, Gouran S (2022). Evaluation of COVID-19 pandemic spreading using computational analysis on nonlinear SITR model. Mathematical methods in the applied sciences https://doi.org/10.1002/mma.8439 PMID: 35942150

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