Resources

Modeling Scenario

1-104A-T-InfectionRisk-ModelingScenario

Author(s): Qingxia Li1, Jennie D'Ambroise2

1. Fisk University 2. SUNY Old Westbury

Keywords: regression infection COVID19 carrying capacity logistic equation exponential model

543 total view(s), 277 download(s)

Abstract

Resource Image 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.

Citation

Researchers should cite this work as follows:

Article Context

Resource Type
Differential Equation Type
Technique
Qualitative Analysis
Application Area
Course
Course Level
Lesson Length
Technology
Approach
Skills
Key Scientific Process Skills
Assessment Type
Vision and Change Core Competencies - Ability
Principles of How People Learn
Bloom's Cognitive Level

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.

Article Files

Authors

Author(s): Qingxia Li1, Jennie D'Ambroise2

1. Fisk University 2. SUNY Old Westbury

Comments

Comments

There are no comments on this resource.