Speakers
Description
This mini-symposium explores the mathematical modeling of vector-borne diseases and their connection to potential epidemic drivers. Vector-borne diseases pose significant challenges to modeling approaches, as the ecological effects of the vector—intertwined with climatic drivers—play critical roles. In the case of dengue fever, which is caused by four different serotypes with incomplete knowledge of cross-immunity effects, complex immunological dynamics also plays a significant role.
The talks will center on the control of epidemic dynamics using techniques from dynamical systems theory and machine learning. We will discuss the following topics: dose-dependent transmission models in general and as applied to dengue fever epidemics; multi-serotype immune-epidemiological models for dengue and serotype invasion; machine learning techniques to study the main drivers of dengue epidemics and their relations to vector population dynamics; and models for vector-borne diseases with behavioral/awareness effects and the control of epidemic onset. Mathematical methods are derived mainly from the theory of dynamical systems and involve both analytical and computational approaches.
