Estimated model parameters.

<div><p>This study investigates the dynamics of the drug-resistant tuberculosis model through a fractional stochastic modeling framework. The model employs fractional-order derivatives to capture the memory effects in disease transmission, while Brownian motion is introduced to represent...

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Bibliographic Details
Main Author:	Shaoping Jiang (11226989) (author)
Other Authors:	Hongyan Wang (41596) (author), Yudie Hu (14304918) (author)
Published:	2025
Subjects:	Biotechnology Ecology Hematology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified optimal parameter values noise level increases model employs fractional fractional stochastic model different interventions strategies resistant tuberculosis model resistant tuberculosis xlink "> thereby providing study investigates single intervention results demonstrate realistic description random perturbation random disturbances order derivatives numerical simulations early disappearance disease transmission caputo derivative brownian motion actual data
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Estimated model parameters.

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