Abstract

Citation

Researchers should cite this work as follows:

• Li, Q., D'Ambroise, J. (2023). 1-104A-T-InfectionRisk-ModelingScenario. SIMIODE, QUBES Educational Resources. doi:10.25334/QC7Q-1747

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Article Context

Description

This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions and comparing to actual disease data sets. This project was designed for an introductory section in Calculus II or a course involving ordinary differential equations, which are appropriate for second year undergraduate students majoring in mathematics, physics, and biomathematics. This project provides an opportunity for students to develop their understanding of differential equations and increase their appreciation of mathematics as it applies to solving and modeling a problem of biology.