HIV Viral Dynamic under Treatment with Intracellular Delay and Virus Decay as Interactive Parameters

DOI10.5540/tcam.2021.022.02.00291zbMath1530.92128OpenAlexW3175753584MaRDI QIDQ6062736

Laécio Carvalho de Barros, Rosana Motta Jafelice, V. M. Cabral, Unnamed Author, Unnamed Author

Publication date: 2 December 2023

Published in: Trends in Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5540/tcam.2021.022.02.00291

zbMATH Keywords

HIV modeljoint possibility distributioninteractive fuzzy numbers

Mathematics Subject Classification ID

Epidemiology (92D30) Cell biology (92C37) Medical epidemiology (92C60)

Cites Work

• A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics. Theory and applications
• Fuzzy differential equation with completely correlated parameters
• Influence of delayed viral production on viral dynamics in HIV-1 infected patients
• On interactive fuzzy numbers
• Population growth model via interactive fuzzy differential equation
• Study of the dynamics of HIV under treatment considering fuzzy delay