Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

Tuberculosis has been a serious threat to the health of people in all countries for many years. This study mainly explores the application of tuberculosis in the prevention and control of epidemics based on big data technology. First, collect data on tuberculosis epidemics. Tuberculosis epidemic information according to the statutory infectious disease reporting system in the China Disease Prevention and Control Information System, case data of reported cases of tuberculosis in mainland China in the past three years was collected according to the review date. Next, collect map data and statistics of demographic data. Finally, clean and organize the data. Check whether there are outliers, duplications, missing and logical errors in the case data, and unify the units of the variables. The reported incidence rate was the highest in the third year and the lowest in the first year, which were 104.90 cases per 100,000 and 71.89 cases per 100,000, respectively. The number of reported cases in the three years was basically similar to the reported incidence rate. This research will effectively improve the accuracy of tuberculosis diagnosis and provide decision support for tuberculosis diagnosis.