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

被引:39
作者
Zhang, Xingyu [1 ,2 ]
Hou, Fengsu [3 ,4 ]
Li, Xiaosong [1 ]
Zhou, Lijun [5 ]
Liu, Yuanyuan [1 ]
Zhang, Tao [1 ]
机构
[1] Sichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 17 Sect 3,South Renmin Rd, Chengdu 610041, Sichuan, Peoples R China
[2] Univ Auckland, Dept Anat Radiol, Auckland 1, New Zealand
[3] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou 510275, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Inst State Governance, Sun Yat Sen Global Hlth Inst, Guangzhou 510275, Guangdong, Peoples R China
[5] Sichuan Ctr Dis Control & Prevent, Chengdu, Sichuan, Peoples R China
基金
中央高校基本科研业务费专项资金资助;
关键词
Infectious disease; Seasonality; Long-term trend; Time series; HUMAN RABIES; QUALITY;
D O I
10.1016/j.ijid.2016.04.010
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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. (C) 2016 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:7 / 13
页数:7
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