Critical Analysis Of Aids and HIV

The information used in the above epidemiology presentation for the disease has been mostly used from the study which is available at the AVERT website which is committed to fighting this disease in the United States by influencing people through statistics and other methods of data collection on the topic of HIV and AIDS.  All the information available here is referenced and carried from the CDC health reports for the mentioned year.  These studies use the standards methods of expressing morbidity and mortality.  Morbidity refers to the appearance of new cases of the disease in a certain population while mortality refers to the number of deaths caused by the disease out of the total population (RICE, 2015). It is very hard to measure the correct mortality rate of AIDS patients. It is mostly due to the nature of the disease as it is very hard to identify if the patient died of AIDS related problems or complications or due to other reasons. The treatment of AIDS is done by powerful drugs with strong side effects and it is therefore not uncommon to see people struggling with medications for this disease (Biggs, 2012, pp. 8-32).

It is also important to take care of timelines whenever compare rates for different population segments. The rates of 2008 for example cannot be compared with the rates of 2010 of another social group. It is therefore imperative in any study and also in this study of AIDS/HIV in the United States to especially compare trends from the same time period. This is the reason why most information viewed here in this assignment is for a few years back because established data is available for these years for all social groups and it can be compared to find both future trends as well as the endangered social groups against this particular disease. The prevalence of HIV is usually found in United States using two methods. The first method is of collecting data in different people and regions and then combining them together to find the estimate of people at risk. There are problems with this method as it is difficult to find out the ethnicity of people as well to find out their true social status as mostly only the place of survey is available for the record. Precision is not available with method and it is difficult to predict the trends for future. The second method uses mathematics and combines the available data with the data of the previous years to find different medical trends and probabilities. This mathematical method is much more useful as it provides relevant data and allows medical researchers to predict the future of the disease by using different available models and theories. The symptoms of HIV appear over a long time frame and therefore comparative methods as well as backdating methods are quite useful in finding the trends related to HIV (Osmond, 2003).