LINEAR-REGRESSION AND BACK-CALCULATION ANALYSES WITH APPLICATIONS TO AIDS CASES IN ALABAMA

AIDS case projections are vital to the control and prevention of AIDS. In this paper, we discuss statistical methods of AIDS/HIV infection d ata. We analyzed the AIDS/HIV infection data for the state of Alabama, USA. We discuss the results in detail. To assist health care planning efforts, projections of future AIDS cases were completed for Alabama for 1993 through 1995 by risk exposure and gender. Additional forecast s were also made for four metropolitan areas (Huntsville, Birmingham, Montgomery and Mobile) and two regional areas (North, South) by risk e xposure and gender for the same time period. Two types of prediction m ethods were used to obtain AIDS projections: back-calculation and regr ession. Reported AIDS cases were adjusted for reporting delays and all projection estimates were inflated by 15% to account for underreporti ng. Using goodness of fit tests the curvilinear regression and two bac k-calculation models provided significant fits to the AIDS data.