Study of surveillance data for class B notifiable disease in China from 2005 to 2014

• Main Authors: Xingyu Zhang, Fengsu Hou, Xiaosong Li, Lijun Zhou, Yuanyuan Liu, Tao Zhang
• Format: Article
• Language: English
• Published: Elsevier 2016-07-01
• Series: International Journal of Infectious Diseases
• Subjects: Infectious disease; Seasonality; Long-term trend; Time series
• Online Access: http://www.sciencedirect.com/science/article/pii/S1201971216310232
• ISSN: 1201-9712; 1878-3511

Background: The surveillance of infection is very important for public health management and disease control. It has been 10 years since China implemented its new web-based infection surveillance system, which covers the largest population in the world. Methods: In this study, time series data were collected for 28 infectious diseases reported from 2005 to 2014 . Seasonality and long-term trends were explored using decomposition methods. Seasonality was expressed by calculating the seasonal indices. Long-term trends in the diseases were assessed using a linear regression model on the deseasonalized series. Results: During the 10-year period, 38 982 567 cases and 126 372 deaths were reported in the system. The proportion of deaths caused by AIDS increased from 12% in 2005 to 78% in 2014. There were six diseases for which the seasonal index range was greater than 2: dengue fever, Japanese encephalitis, leptospirosis, anthrax, cerebrospinal meningitis, and measles . Among the 28 diseases, the incidence of syphilis increased fastest, with an average increase of 0.018626/100 000 every month after adjustment for seasonality. Conclusions: Effective surveillance is helpful in gaining a better understanding of the infection behaviour of infectious diseases; this will greatly facilitate disease control and management.