Evaluation of HIV and tuberculosis incidences by years with statistical process control

In recent years health data are recorded in many countries. These large amount of data is provided information by monitoring HIV and tuberculosis incidences at a given time. Statistical process control graphs follow the progress of infectious diseases over a period of time to understand, control and improve the process. As the global transport network develops, infectious diseases spread rapidly, as well. These circumstances impose an obligation to take precautions. Nowadays tuberculosis (TB), one of the oldest diseases, is still among the fatal diseases in the World. Nearly one quarter of the World's population has latent TB infection. People who have weakened immunity, HIV infection, innutrition, use tobacco products, are in the high risk group for TB infection turn into the disease. TB is the most common infection which cause of death among patients with HIV. Although HIV infection has not had a cure yet, it is crucial to keep it under control. This thesis explicating statistical process control charts for measurement and attributes data. Monitoring the HIV and TB incidences between the years of 1990 – 2016 in the European countries, analysis the data and plotting the pertinent control chart. The data was analyzed for underdispersion and overdispersion by graphical method. Laney P or Shewhart P control charts are plotted according to the result of analysis. The plotted control graphs were interpreted to determine whether the countries were under control against HIV and TB infection.