Liu Kun, Zhou Hang, Sun Ruo-Xi, Yao Hong-Wu, Li Yu, Wang Li-Ping, Li Xin-Lou, Yang Yang, Gray Gregory C, Cui Ning, Yin Wen-Wu, Fang Li-Qun, Yu Hong-Jie, Cao Wu-Chun
The State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, P. R. China.
Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, Beijing 102206, P. R. China.
Sci Rep. 2015 Apr 23;5:9679. doi: 10.1038/srep09679.
First discovered in rural areas of middle-eastern China in 2009, severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne zoonosis affecting hundreds of cases reported in China each year. Using the national surveillance data from 2010 to 2013, we conducted this retrospective epidemiological study and risk assessment of SFTS in China. We found that the incidence of SFTS and its epidemic areas are continuing to grow, but the case fatality rate (CFR) has steadily decreased. SFTS most commonly affected elderly farmers who acquired infection between May and July in middle-eastern China. However, other epidemiological characteristics such as incidence, sex ratio, CFR, and seasonality differ substantially across the affected provinces, which seem to be consistent with local agricultural activities and the seasonal abundance of ticks. Spatial scan statistics detected three hot spots of SFTS that accounted for 69.1% of SFTS cases in China. There was a strong association of SFTS incidence with temporal changes in the climate within the clusters. Multivariate modeling identified climate conditions, elevation, forest coverage, cattle density, and the presence of Haemaphysalis longicornis ticks as independent risk factors in the distribution of SFTS, based on which a predicted risk map of the disease was derived.
严重发热伴血小板减少综合征(SFTS)于2009年首次在中国中部农村地区被发现,是一种新出现的蜱传人畜共患病,中国每年报告数百例病例。利用2010年至2013年的国家监测数据,我们开展了这项关于中国SFTS的回顾性流行病学研究和风险评估。我们发现,SFTS的发病率及其流行地区持续增加,但病死率(CFR)稳步下降。SFTS最常影响中国中部地区5月至7月间感染的老年农民。然而,发病率、性别比、CFR和季节性等其他流行病学特征在受影响省份之间存在很大差异,这似乎与当地农业活动和蜱的季节性丰度一致。空间扫描统计发现了三个SFTS热点地区,占中国SFTS病例的69.1%。在这些聚集区内,SFTS发病率与气候的时间变化之间存在很强的关联。多变量建模确定气候条件、海拔、森林覆盖率、牛密度以及长角血蜱的存在是SFTS分布的独立风险因素,并据此得出了该病的预测风险图。