ArticleResults in physics2021
A novel fractional mathematical model of COVID-19 epidemic considering quarantine and latent time.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 64 citations in OpenAlex.
- Modeling the competitive transmission of the Omicron strain and Delta strain of COVID-19.Journal of mathematical analysis and applications · 2023Article
- A fractional-order model with different strains of COVID-19.Physica A · 2022Article
- Optimal control and cost-effectiveness analysis for a COVID-19 model with individual protection awareness.Physica A · 2022Article
- Fractal-fractional operator for COVID-19 (Omicron) variant outbreak with analysis and modeling.Results in physics · 2022Article
- Mathematical modeling of COVID-19 pandemic in India using Caputo-Fabrizio fractional derivative.Computers in biology and medicine · 2022Article
- Mathematical modeling and stability analysis of the COVID-19 with quarantine and isolation.Results in physics · 2022Article
- Modeling and optimal control of mutated COVID-19 (Delta strain) with imperfect vaccination.Chaos, solitons, and fractals · 2022Article
- A mathematical model for SARS-CoV-2 in variable-order fractional derivative.The European physical journal. Special topics · 2022Article
- A fractional-order mathematical model for COVID-19 outbreak with the effect of symptomatic and asymptomatic transmissions.European physical journal plus · 2022Article
- COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming.PloS one · 2022Article
- A dynamical study of SARS-COV-2: A study of third wave.Results in physics · 2021Article
- Application of reinforcement learning for effective vaccination strategies of coronavirus disease 2019 (COVID-19).European physical journal plus · 2021Article
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Authors and funding
5 authors at 5 institutions in 5 countries.
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No grant is acknowledged in the PubMed record.
Abstract
In this paper, we investigate the fractional epidemic mathematical model and dynamics of COVID-19. The Wuhan city of China is considered as the origin of the corona virus. The novel corona virus is continuously spread its range of effectiveness in nearly all corners of the world. Here we analyze that under what parameters and conditions it is possible to slow the speed of spreading of corona virus. We formulate a transmission dynamical model where it is assumed that some portion of the people generates the infections, which is affected by the quarantine and latent time. We study the effect of various parameters of corona virus through the fractional mathematical model. The Laguerre collocation technique is used to deal with the concerned mathematical model numerically. In order to deal with the dynamics of the novel corona virus we collect the experimental data from 15th-21st April, 2020 of Maharashtra state, India. We analyze the effect of various parameters on the numerical solutions by graphical comparison for fractional order as well as integer order. The pictorial presentation of the variation of different parameters used in model are depicted for upper and lower solution both.
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