Comparison of stochastic and random models for bacterial resistance

DOI10.1186/s13662-017-1191-5zbMath1422.92126OpenAlexW2613769918WikidataQ59517397 ScholiaQ59517397MaRDI QIDQ1631048

Mehmet Merdan, Zafer Bekiryazici, Tulay Kesemen, Tahir Khaniyev

Publication date: 5 December 2018

Published in: Advances in Difference Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13662-017-1191-5

zbMATH Keywords

stochastic differential equationMilstein schemeEuler-Maruyama schemerandom differential equationantibiotic resistance

Mathematics Subject Classification ID

Epidemiology (92D30) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Population dynamics (general) (92D25) Ordinary differential equations and systems with randomness (34F05)

Related Items (9)

Investigation of linear difference equations with random effects ⋮ Existence, uniqueness and stability of fuzzy fractional differential equations with local Lipschitz and linear growth conditions ⋮ Transmission of Cholera Disease with Laplacian and Triangular Parameters ⋮ Modification of the random differential transformation method and its applications to compartmental models ⋮ Assessing the role of bacterial plasmid replication in a competition model of sensitive and resistant bacteria to antibiotics ⋮ THE IMPACT OF NONSINGULAR MEMORY ON THE MATHEMATICAL MODEL OF HEPATITIS C VIRUS ⋮ Unnamed Item ⋮ Stability and periodic solutions for a model of bacterial resistance to antibiotics caused by mutations and plasmids ⋮ A MODEL ON BACTERIAL RESISTANCE CONSIDERING A GENERALIZED LAW OF MASS ACTION FOR PLASMID REPLICATION

Uses Software

• stochastic

Cites Work

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