Object-Oriented Modeling of Discrete-Time Population and Epidemiological Systems
Keywords:
compartmental models, epidemiology, modelicaAbstract
We present a basic object-oriented library designed to represent discrete-time compartmental epidemiological models with explicit delays. The models can be built with varying levels of complexity: with either constant or variable populations (including births and deaths), and allowing for the inflow and outflow of individuals external to the initial population. The library also enables a straightforward representation of vector-borne epidemics. In addition to the library description, this work includes example models and simulation results of a dengue outbreak model that incorporates meteorological phenomena, calibrated using real-world data.
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Copyright (c) 2025 Camila Koatz, Mariana Bergonzi, Ernesto Kofman
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