The analysis of a time delay fractional COVID‐19 model via Caputo type fractional derivative

DOI10.1002/mma.6935OpenAlexW3094549672WikidataQ102369627 ScholiaQ102369627MaRDI QIDQ6140759

Pushpendra Kumar, Vedat Suat Ertürk

Publication date: 2 January 2024

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.6935

zbMATH Keywords

time delayfixed point theorypredictor-corrector schemeSEIR modelCaputo fractional derivativeCOVID-19 epidemic

Mathematics Subject Classification ID

Epidemiology (92D30) Functional-differential equations with fractional derivatives (34K37)

Related Items

Identification of time delays in COVID-19 data, Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the application of sequential and fixed-point methods to fractional differential equations of arbitrary order
• The fractional calculus. Theory and applications of differentiation and integration to arbitrary order
• Existence, uniqueness, and exponential boundedness of global solutions to delay fractional differential equations
• Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
• A mathematical model for the novel coronavirus epidemic in Wuhan, China
• A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control
• The dynamics of COVID-19 with quarantined and isolation
• Solution of a COVID-19 model via new generalized Caputo-type fractional derivatives