Organizers: Carla M.A. Pinto, ISEP-P.PORTO, cap at isep.ipp.pt; Delfim Torres, UA, delfim at ua.pt; Juan Carlos Cortés, UPV, jccortes at imm.upv.es; Marc Jornet, UNIR, marc.jornet at unir.net
Description
This special session will explore the critical role of mathematical modeling in understanding and managing the spread of infectious diseases. The session will offer insights on the most recent developments and literature in epidemiological models. Topics will include foundational compartmental models, deterministic and stochastic models, models accounting for heterogeneous mixing and vector-borne diseases, and detailed case studies of significant illnesses such as tuberculosis, HIV/AIDS, influenza, Ebola, malaria, dengue, and Zika virus. The session will also touch on advanced modeling approaches incorporating age and spatial structures, human mobility, and conclude with a discussion of current challenges and future directions in epidemiological modeling. This session is particularly relevant for educators, researchers, and graduate students in mathematics, public health, and related disciplines aiming to integrate quantitative tools into their work on infectious disease dynamics.
Topics include:
- Compartmental models;
- Deterministic and stochastic models;
- Heterogeneous mixing;
- Vector-borne disease methods;
- Advanced Modeling Topics (meta-population models, age structured models, spatial models and diffusion);
- Data Integration and Model Calibration;
- Policy and Intervention Modeling;
- Challenges and Future Directions in Epidemiological Models.