School of Public Policy and Administration, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, China.
Department of Public Policy, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China.
Int J Environ Res Public Health. 2018 Apr 2;15(4):661. doi: 10.3390/ijerph15040661.
Viral hepatitis, as one of the most serious notifiable infectious diseases in China, takes heavy tolls from the infected and causes a severe economic burden to society, yet few studies have systematically explored the spatio-temporal epidemiology of viral hepatitis in China. This study aims to explore, visualize and compare the epidemiologic trends and spatial changing patterns of different types of viral hepatitis (A, B, C, E and unspecified, based on the classification of CDC) at the provincial level in China. The growth rates of incidence are used and converted to box plots to visualize the epidemiologic trends, with the linear trend being tested by chi-square linear by linear association test. Two complementary spatial cluster methods are used to explore the overall agglomeration level and identify spatial clusters: spatial autocorrelation analysis (measured by global and local Moran's I) and space-time scan analysis. Based on the spatial autocorrelation analysis, the hotspots of hepatitis A remain relatively stable and gradually shrunk, with Yunnan and Sichuan successively moving out the high-high (HH) cluster area. The HH clustering feature of hepatitis B in China gradually disappeared with time. However, the HH cluster area of hepatitis C has gradually moved towards the west, while for hepatitis E, the provincial units around the Yangtze River Delta region have been revealing HH cluster features since 2005. The space-time scan analysis also indicates the distinct spatial changing patterns of different types of viral hepatitis in China. It is easy to conclude that there is no one-size-fits-all plan for the prevention and control of viral hepatitis in all the provincial units. An effective response requires a package of coordinated actions, which should vary across localities regarding the spatial-temporal epidemic dynamics of each type of virus and the specific conditions of each provincial unit.
病毒性肝炎是中国最严重的法定传染病之一,给感染者带来沉重负担,并给社会造成严重经济负担,但很少有研究系统地探索中国病毒性肝炎的时空流行病学。本研究旨在探索、可视化和比较中国省级水平不同类型(基于 CDC 分类的 A、B、C、E 和未特指)病毒性肝炎的流行病学趋势和空间变化模式。使用发病率增长率并将其转换为箱线图来可视化流行病学趋势,通过卡方线性线性关联检验测试线性趋势。使用两种互补的空间聚类方法来探索整体集聚水平和识别空间聚类:空间自相关分析(用全局和局部 Moran's I 衡量)和时空扫描分析。基于空间自相关分析,甲型肝炎的热点相对稳定且逐渐缩小,云南和四川相继移出高-高(HH)聚类区。中国乙型肝炎的 HH 聚类特征随着时间的推移逐渐消失。然而,丙型肝炎的 HH 聚类区域逐渐向西移动,而对于戊型肝炎,自 2005 年以来,长江三角洲地区周边的省份单位一直呈现 HH 聚类特征。时空扫描分析也表明中国不同类型病毒性肝炎的空间变化模式明显不同。很容易得出结论,对于所有省级单位来说,没有一种适合所有病毒性肝炎防控的一刀切的方案。有效的应对措施需要一揽子协调行动,应根据每种病毒的时空流行动态和每个省级单位的具体情况在各地有所不同。