Victoria May Mendoza

Bionote:

My research focuses on the mathematical modeling and control of infectious diseases, including COVID-19, as well as neglected tropical diseases such as lymphatic filariasis, schistosomiasis, and soil-transmitted helminths. I employ tools such as differential equations, optimal control theory, and various optimization techniques. My goal is to translate the outcomes of these models into actionable insights, aiding decision-making processes and contributing to the development of informed policies.

Multi-Objective Optimization

in Infectious Disease Models

Abstract

Controlling biological systems or processes naturally involves optimizing a set of objectives while satisfying a range of constraints. Such problems can be formulated as multi-objective optimization problems, resulting in a set of multiple trade-off solutions. The trade-off property of these solutions is particularly valuable in multicriteria decision analysis, enabling a decision-maker to choose the most suitable solution for a given scenario among the optimal solutions. We demonstrate the application of the multi-objective optimization approach in infectious disease models to suggest the optimal selection of vaccination sites, the optimal timing of easing interventions and bed capacity, and the optimal intensity of interventions while considering economic costs.