الفهرس 
CHAPTER 1 INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
HCV was a main public health burden in Egypt. It’s transmitted via contact with infected blood. A new drug therapy was discovered which become available recently in Egypt. That’s why it become imperative to develop a set of guidelines dictating the distribution of the therapy in an efficient manner. In order to achieve these goals, we need to Know the strategic objectives of the ministry of health. Collect the data of the current HCV patients. Know the different classification of HCV patients, according to degree of infection and appropriate management plans. A simulation for HCV infection was done in Egypt to give a clear picture of the current prevalence and economic burden, and to help decision makers. One of the important tools which helped in making this research is queuing theory and inventory control. These tools help in managing the treatment queues for HCV patients to receive the treatment using inventory control to ensure there will no shortage of treatment doses. Using these tools, we can optimize HCV infection control plan by delivering treatment to all the patients in the queues and we can predict the time needed to eliminate HCV infection in Egypt. Also, we can estimate the economic burden of the disease & the cost of treatment. We can overstate the importance of neural network in predicting the prevalence of HCV infection in Egypt. We will use artificial neural network in predication (“100 million health”), then estimate the infection rate in each province. After that will be applied different treatment protocol to estimate total cost for HCV patient and we predicted the average wait for all patients. Also, it was possible to predict complete eradication of virus C in Egypt.