Abstract Summary
For decades HIV and AIDS have remained a public health problem for the United States and many other countries. While great progress has been made in preventing and treating HIV, there is still much to do. Considering that the HIV virus can lead to Acquired Immunodeficiency Syndrome (AIDS) if not treated, it is important to track the rate of AIDS in order to analyze the effectiveness in the current treatment and prevention methods. In this research, we explore the rate of AIDS diagnoses as either stationary, increasing or decreasing over time which tells us if the developing treatment towards that disease is overall effective or not. We use simple linear regression methods to model current data of AIDS diagnoses of men and women in 6 different age groups in order to predict the trend for upcoming years. We will use this trend to further investigate the rate of AIDS diagnoses amongst males and females in each age group. These trends may allow us to predict future rates of AIDS.
