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Modeling Scenario

1-160-HeartDeathRate-ModelingScenario

Author(s): Arati Nanda Pati

University of St. Thomas, Houston TX USA

Keywords: data heart death rate

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Abstract

Resource Image Students simulate experience from a given data set which represents the heart death rate during the period 2000 - 2010 using several approaches to include exponential decay, difference equation, differential equation, and parameter estimation using EXCEL.

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Article Context

Description

We offer students to understand the role of a parameter and estimate it using EXCEL spreadsheet in the differential equation setting.

This is an introductory modeling activity to experiment with a parameter to get a good sense of it on the solution of the first order differential equation.

Heart disease is the leading cause of death in the United States. It is not a single disease. Rather, a collection of diseases of the heart and blood vessels collectively known as cardiovascular disease. Since 1950, death rates from heart disease and stroke have declined sharply representing one of the most important health achievements of the 20th century. Intensive investigations led to finding major risks factors of the disease are cigarette smoking, high blood pressure, elevated total cholesterol, obesity, diabetes, and physical inactivity.

Subsequent development in early detection, prevention, and treatment of these risks factors due to medical care have been very effective in decreasing the heart death rate. In the 21st century, still heart disease is the leading cause of death though it is following the decreasing trend. We received heart death rate between the years 2000 and 2010 data set to explore the mathematical modeling opportunity. 

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Authors

Author(s): Arati Nanda Pati

University of St. Thomas, Houston TX USA

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