What question did this study set out to answer?

To develop a fractional-order model for malaria transmission that incorporates memory effects and optimizes control strategies.

A fractional order model for Malaria control using optimal strategies and numerical simulations

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This work develops a fractional-order model to optimize malaria control strategies for improved disease outcomes.

To develop a fractional-order model for malaria transmission that incorporates memory effects and optimizes control strategies.
Extended classical SEIR framework with fractional-order derivatives
Divided human population into compartments: susceptible, exposed, infected, recovered
Introduced control variables: public awareness campaigns, treatment
Used Pontryagin's maximum principle for optimal control conditions
Implemented numerical simulations in MATLAB for analysis.
Simulation results show significant influence of fractional-order derivatives on disease dynamics.
Control strategies demonstrated effectiveness in reducing new infections and complications.
Results suggest that integrated intervention strategies improve overall malaria control.

Kouidere et al. (2026) studied this question.

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