Temporal-spatial Analysis of severe fever with thrombocytopenia syndrome (SFTS) in Shandong Province, China
JIANG Xiao-lin, ZHANG Xiao-mei, PANG Bo, SUN Da-peng, YAO Ming-xiao, WU Shu-zhi, WANG Xian-jun, DING Shu-jun
Department of Viral Diseases Control and Prevention, Shandong Center for Disease Control and Prevention, Shandong Key Laboratory for Communicable Disease Control and Prevention,Jinan 250014,China
Abstract:To analyze the spatial and temporal characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Shandong Province for providing scientific basis for the development of related regional public health strategies. Based on the information of SFTS cases derived from the National Disease Reporting Information System during 2010-2016 in Shandong Province, combined with population and geographical data, a geographic information database was established. The spatial autocorrelation analysis was carried out by OpenGeoDa 1.2.0 software, and space-time scan statistics method based on the Poisson Model for the space-time clusters analysis by SaTScan 9.4 software was used. The results showed that the incidence was evidently increased, a total of 2 319 cases of SFTS patients were reported from 2010-2016, with an average incidence rate and fatality rate of 0.34/100,000 and 9.92% respectively. The Global Moran’s I index was positive and increased from 2012 to 2016, showing that there was a positive correlation between space and the incidence of SFTS(P<0.05).The results of local autocorrelation analysis showed that the high-high(H-H) clustering areas of SFTS were mainly located in central and northeast districts of Shandong province. Spatio-temporal scanning analysis identified three clustering areas, the most likely cluster was existed in 16 counties (districts),which were mainly located in Yantai (12) and Weihai (4) (LLR=677.15, RR=11.58, P<0.001). All the H-H counties(districts) were included in the three cluster regions. In conclusion, the incidence of SFTS increased obviously in Shandong from 2010 to 2016. The incidence of SFTS in counties(districts) appeared clustering features in both dimensions of time and space. Prevention and control measures should be focused in key areas.
姜晓林, 张晓梅, 逄博, 孙大鹏, 姚明晓, 吴书志, 王显军, 丁淑军. 山东省发热伴血小板减少综合征时空流行特征分析[J]. 中国人兽共患病学报, 2020, 36(9): 740-745.
JIANG Xiao-lin, ZHANG Xiao-mei, PANG Bo, SUN Da-peng, YAO Ming-xiao, WU Shu-zhi, WANG Xian-jun, DING Shu-jun. Temporal-spatial Analysis of severe fever with thrombocytopenia syndrome (SFTS) in Shandong Province, China. Chinese Journal of Zoonoses, 2020, 36(9): 740-745.
[1] Yu XJ, Liang MF, Zhang SY, et al.Fever with thrombocytopenia associated with a novel bunyavirus in China[J]. N Engl J Med, 2011, 364(16): 1523-1532.DOI: 10.1056/NEJMoa1010095 [2] Luo LM, Zhao L, Wen HL, et al.Haemaphysalislongicornis ticks as reservoir and vector of severe fever with thrombocytopenia syndrome virus in China[J]. Emerg Infect Dis, 2015, 21(10):1770. DOI:10.3201/eid2110.150126 [3] Jiang XL, Zhang S, Jiang M, et al.A cluster of person-to-person transmission cases caused by SFTS virus in Penglai, China[J]. Clin Microbiol Infect, 2015, 21(3):274-279. DOI: 10.1016/j.cmi.2014.10.006 [4] 李昱, 杨明, 牟笛,等. 2010-2017年全国发热伴血小板减少综合征流行特征分析[J]. 中国急救复苏与灾害医学杂志, 2018,13(11):1076-1079.DOI:10.3969/j.issn.1673-6966.2018.11.011 [5] 龚磊, 朱敬蕊, 张勇,等. 安徽省发热伴血小板减少综合征病例的流行病学与临床特征分析[J]. 现代预防医学, 2019,46(15):2696-2700. [6] 尤爱国, 杜燕华, 黄学勇, 等. 河南省2014-2016年发热伴血小板减少综合征时空分布特征研究[J]. 中华流行病学杂志, 2017,38(10):1386-1389.DOI:10.3760/cma.j.issn.0254-6450.2017.10.018 [7] 宗莉, 刘学升, 毛玲玲, 等. 辽宁省2011—2017年发热伴血小板减少综合征流行病学特征与M片段基因序列分析[J]. 中国公共卫生, 2019,35(5):644-647. DOI:10.11847/zgggws1121621 [8] 吴昊澄, 徐校平, 吴晨, 等. 浙江省2011-2015年发热伴血小板减少综合征发病空间预测[J]. 中华流行病学杂志, 2016, 37(11):1485-1490. DOI:10.3760/cma.j.issn.0254-6450.2016.11.011 [9] McMullan LK, Folk SM, Kelly AJ, et al. A new phlebovirus associated with severe febrile illness in Missouri[J]. N Engl J Med, 2012, 367(9): 834-841.DOI:10.1056/NEJMoa1203378 [10] Kim KH, Yi J, Kim G, et al.Severe fever with thrombocytopenia syndrome, South Korea, 2012[J]. Emerg Infect Dis, 2013, 19(11): 1892-1894. DOI:10.3201/eid1911.130792 [11] Takahashi T, Maeda K, Suzuki T, et al.The first identification and retrospective study of severe fever with thrombocytopenia syndrome in Japan[J]. J Infect Dis, 2014, 209(6): 816-827.DOI:10.1093/infdis/jit603 [12] Tran X, Yun Y, Van An L, et al.Endemic severe fever with thrombocytopenia syndrome, vietnam[J]. Emerg Infect Dis, 2019, 25(5):1029-1031. DOI:10.3201/eid2505.181463 [13] 中华人民共和国卫生部.发热伴血小板减少综合征防治指南(2010版)[J]. 中华临床感染病杂志, 2011, 04(4):193-194.DOI :10.3760/cma.j.issn.1674-2397.2011.04.001 [14] Wang S,Li J,Niu G,Wang X, et al.SFTS Virus in Ticks in an Endemic Area of China[J]. Am J Trop Med Hyg,2015, 92(4):684-689. DOI:10.4269/ajtmh.14-0008 [15] 方立群. 肾综合征出血热时空分布及环境危险因素研究[D].北京:中国人民解放军军事医学科学院,2009. [16] 李晓龙. 我国流行性乙型脑炎时空分布特征及相关地理气候因素研究[D].北京:中国疾病预防控制中心, 2014. [17] Niu GY, Li JD, Liang MF, et al.Severe fever with thrombocytopenia syndrome virus among domesticated animals, China[J]. Emerg Infect Dis, 2013, 19(5): 756-763. DOI: 10.3201/eid1905.120245 [18] Huang XY, Du YH, Wang HF, et al.Prevalence of severe fever with thrombocytopenia syndrome virus in animals in Henan Province, China[J]. Infect Dis Poverty, 2019,8(3):82-87. DOI: 10.1186/s40249-019-0569-x [19] Chen C, Li P, Li KF, et al.Animals as amplification hosts in the spread of severe fever with thrombocytopenia syndrome virus: A systematic review and meta-analysis[J]. Int J Infect Dis, 2019, 79:77-84. DOI: 10.1016/j.ijid.2018.11.017