ArticlePartial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters2022
Numerical study of a nonlinear COVID-19 pandemic model by finite difference and meshless methods.
Article in Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models.PloS one · 2026Article
- Fractional order modeling of hepatitis B virus transmission with imperfect vaccine efficacy.Scientific reports · 2025Article
- A statistical estimation of fractional order cryptosporidiosis epidemic model.Scientific reports · 2025Article
- An epidemiological model of monkeypox: model prediction and control application.BMC infectious diseases · 2025Article
- Dynamic analysis and optimal control of a hybrid fractional monkeypox disease model in terms of external factors.Scientific reports · 2025Article
- Sensitivity analysis and dynamics of brucellosis infection disease in cattle with control incident rate by using fractional derivative.Scientific reports · 2025Article
- Studying of COVID-19 fractional model: Stability analysis.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
In this paper, a mathematical epidemiological model in the form of reaction diffusion is proposed for the transmission of the novel coronavirus (COVID-19). The next-generation method is utilized for calculating the threshold number R
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Registered trials
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