Forecast Model Analysis for the Morbidity of Tuberculosis in Xinjiang, China

• Published in: PloS one Vol. 10; no. 3; p. e0116832
• Main Authors: Zheng, Yan-Ling, Zhang, Li-Ping, Zhang, Xue-Liang, Wang, Kai, Zheng, Yu-Jian
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.03.2015; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Autoregressive models; Causes of; China - epidemiology; Complications and side effects; Demographic aspects; Economic models; Forecasts and trends; Humans; Infectious diseases; Models, Statistical; Models, Theoretical; Monitoring; Morbidity; Neural networks; Predictive control; Prognosis; Public health; Public Health Surveillance; Regression analysis; Statistical analysis; Time series; Trends; Tuberculosis; Tuberculosis - epidemiology; China

Tuberculosis is a major global public health problem, which also affects economic and social development. China has the second largest burden of tuberculosis in the world. The tuberculosis morbidity in Xinjiang is much higher than the national situation; therefore, there is an urgent need for monito...