Mathematical Modeling
Models for pathogen emergence, spread, control, and long-term dynamics.
Clotilde Djuikem is a Postdoctoral Research Fellow in Applied Mathematics at the University of Manitoba. Her research develops and analyzes mathematical models for infectious disease dynamics in plants, humans, and aquatic systems, using deterministic and stochastic models, control theory, dynamical systems, and numerical analysis.
My work connects applied mathematics with real-world questions in infectious disease dynamics, biological systems, and environmental change.
Models for pathogen emergence, spread, control, and long-term dynamics.
Thresholds, stability, bifurcations, and qualitative behavior of complex systems.
Markov chains, stochastic models, simulations, and uncertainty in epidemic dynamics.
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