Adaptive parameter-space refinement and Markov state models for eco-epidemiological dynamics

Key Points

• Adaptive parameter-space refinement improves modeling accuracy in eco-epidemiological dynamics, supporting more reliable predictions.
• Markov state models enhance understanding of stochastic processes influencing ecological and epidemiological outcomes.
• The approach enables more robust predictive modeling by integrating complex interactions and uncertainties.
• Understanding eco-epidemiological dynamics may inform better strategies for public health and ecological management.