Stationary distribution and near-optimal control of a stochastic reaction–diffusion cholera model

Key Points

• The model demonstrates stationary distribution scenarios in cholera dynamics, indicating potential stability.
• Key metrics show that near-optimal control can effectively manage cholera spread based on simulation data.
• Analysis of stochastic reaction-diffusion processes provides insights into complex disease transmission dynamics.
• Implications suggest effective control methods for cholera; external validation in real-world scenarios is needed.