Problem 39
Question
AIDS Cases Records of the number of AIDS cases diagnosed in the United States between 1988 and 1991 indicate that the rate at which the rate of change in the number of cases was changing was constant at -2099 cases per year squared. The number of AIDS cases diagnosed in 1988 was 33,590 , and the number of cases was increasing at the rate of 5988.7 cases per year in 1988 . (Source: Based on data appearing in HIVIAIDS Surveillance \(1992,\) year-end edition) a. Write a differential equation for the rate of change in the rate of change of the number of AIDS cases diagnosed in year \(t,\) where \(t\) is the number of years after 1988 . b. Find a particular solution to the differential equation in part \(a\). c. Estimate how rapidly the number of AIDS cases diagnosed was changing in 1991 and the number of AIDS cases that were diagnosed in that year.
Step-by-Step Solution
VerifiedKey Concepts
Rate of Change
In this exercise, we defined the function \( N(t) \) to represent the number of AIDS cases diagnosed in year \( t \), where \( t \) measures years after 1988. The first derivative, \( N'(t) \), indicates how the number of cases changes annually. For example, if \( N'(t) \) is positive, the number of cases is increasing, and if negative, it is decreasing.
A unique detail here is the rate at which \( N'(t) \), the rate of change itself, is altering. This is given by the second derivative, \( N''(t) \), which was constant at -2099 cases per year squared. It tells us that the pace at which the rate increases or decreases is consistent over the years. Such insights are critical for predicting future trends in data.
Initial Conditions in Calculus
In our exercise, two key initial conditions were provided for the year 1988: the number of AIDS cases diagnosed, \( N(0) = 33590 \), and the rate of change, \( N'(0) = 5988.7 \) cases/year. Applying these conditions enabled us to find the constants \(C\) and \( K \) to obtain particular solutions for \( N'(t) \) and \( N(t) \).
These specific solutions give us actual values rather than abstract equations, allowing for real-world predictions and analyses, such as estimating changes in the number of cases diagnosed by 1991.
Integral Calculus
In our step-by-step approach, after establishing the differential equation for the rate of change of the change rate \( N''(t) = -2099 \), we integrated to find \( N'(t) \). This gave an expression representing how the number of cases was trending every year. Another integration step from \( N'(t) \) landed us at \( N(t) \), the number of AIDS cases function, with constants found using initial conditions.
By integrating \( N'(t) \), we construct a specific mathematical model of how cases were possibly distributed over time. This not only aids in understanding past data but is also crucial for forecasting and planning in public health scenarios.