|
|
|
| Epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome in Huai'an City from 2011 to 2024 |
| XIA Wenling1, GAO Qiang1, LI Yang2, CAI Ben1, WAN Chunyu1, CUI Zhizhen1, ZHANG Zheng1, PAN Enchun1
|
1. Huai'an Center for Disease Control and Prevention, Huai'an, Jiangsu 223001, China;
2. Xuyi County Center for Disease Control and Prevention, Xuyi, Jiangsu 211700, China |
|
|
|
|
Abstract Objective To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/105 to 1.88/105. There were 20 deaths, with an average annual mortality of 0.03/105, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.
|
|
Received: 17 September 2025
Revised: 30 December 2025
Published: 26 January 2026
|
|
|
|
|
|
[1] YU X J,LIANG M F,ZHANG S Y,et al.Fever with thrombocytopenia associated with a novel bunyavirus in China[J].N Engl J Med,2011,364(16):1523-1532.
[2] 岳玉娟,任东升,伦辛畅.2010—2023年中国发热伴血小板减少综合征死亡病例流行特征分析[J].热带病与寄生虫学,2024,22(5):257-261,300.
[3] 杜珊珊,师悦,陈曦,等.2010—2023年我国发热伴血小板减少综合征流行特征分析[J].中国血吸虫病防治杂志,2025,37(4):371-379.
[4] 中国疾病预防控制中心.发热伴血小板减少综合征防控技术指南(2024版)[Z].北京:中国疾病预防控制中心,2024.
[5] SHORTRIDGE A.Practical limits of Moran's autocorrelation index for raster class maps[J].Comput Environ Urban Syst,2007,31(3):362-371.
[6] ZHANG T L,LIN G.Spatial scan statistics in loglinear models[J].Comput Stat Data Anal,2009,53(8):2851-2858.
[7] ANSELIN L.Local indicators of spatial association—LISA[J].Geogr Anal,1995,27(2):93-115.
[8] 陈秋兰,朱曼桐,陈宁,等.2011—2021年全国发热伴血小板减少综合征流行特征分析[J].中华流行病学杂志,2022,43(6):852-859.
[9] 张乾通,孙继民,凌锋,等.浙江省2021年发热伴血小板减少综合征报告病例及蜱媒监测结果分析[J].中国媒介生物学及控制杂志,2022,33(4):485-488.
[10] 段青,逄博,张晓梅,等.2011—2020年山东省发热伴血小板减少综合征流行特征及空间聚集性[J].中华疾病控制杂志,2022,26(7):790-797.
[11] 杨锟,吴起乐,赵志荣,等.2013—2022年安徽省马鞍山市发热伴血小板减少综合征流行特征及时空聚集性分析[J].疾病监测,2024,39(7):831-835.
[12] 陈康,吴爱兰,马婧婧,等.东阳市发热伴血小板减少综合征病例特征分析[J].预防医学,2024,36(1):47-50.
[13] CASEL M A,PARK S J,CHOI Y K.Severe fever with thrombocytopenia syndrome virus:emerging novel phlebovirus and their control strategy[J].Exp Mol Med,2021,53(5):713-722.
[14] 齐上,庞为,邢俊,等.2011—2023年大连市发热伴血小板减少综合征流行病学特征及空间分析[J].中国公共卫生,2024,40(9):1052-1058. |
| [1] |
LÜ Jing, XU Xinying, QIAO Yingyi, SHI Xinglong, YUE Fang, LIU Ying, CHENG Chuanlong, ZHANG Yuqi, SUN Jimin, LI Xiujun. Epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome in Zhejiang Province[J]. Preventive Medicine, 2026, 38(1): 10-14. |
|
|
|
|
