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安徽省2021—2023年发热伴血小板减少综合征流行特征和发病风险分级研究
刘雅倩, 龚磊, 马婉婉, 储娜, 汪敏, 陈秀芝, 李青, 吴家兵
安徽预防医学杂志 ›› 2025, Vol. 31 ›› Issue (2) : 93-96.
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安徽省2021—2023年发热伴血小板减少综合征流行特征和发病风险分级研究
Epidemiological characteristics and risk classification of severe fever with thrombocytopenia syndrome in Anhui Province from 2021 to 2023
目的 了解安徽省发热伴血小板减少综合征(SFTS)的流行情况,探讨县(市、区)和乡镇发病风险等级划分方法,为不同等级风险区防控策略和措施的制定提供科学依据。方法 通过中国疾病预防控制信息系统收集SFTS发病数据,采用描述流行病学分析SFTS病例的时间和地区特征,基于2021—2023年安徽省年均发病数,提出县(市、区)和乡镇SFTS发病风险等级标准。结果 2021—2023年全省监测报告SFTS病例2 800例,分布在14个市74个县(市、区)596个乡镇,年均发病率为1.52/10万,报告死亡病例66例,病死率为2.36%。流行地区中一类地区分布在15个县(市、区),二类地区分布在11个县(市、区),三类地区分布在48个县(市、区);非流行地区分布在30个县(市、区)。一类乡镇分布在16个县(市、区)47个乡镇;二类乡镇分布在73个县(市、区)549个乡镇。其中一、二、三类地区中报告病例数最多的分别为明光市(237例)、长丰县(56例)、怀宁县(29例);一类乡镇报告病例数最多的为含山县环峰镇(42例)。结论 安徽省SFTS报告发病水平总体呈上升趋势,波及范围逐渐扩大,明确不同发病风险等级地区,有助于分类指导SFTS防控工作。
Objective To investigate the prevalence of severe fever with thrombocytopenia syndrome (SFTS) in Anhui Province,and to explore the risk classification methods of county (city,district) and township,so as to provide scientific basis for the formulation of prevention and control strategies and measures in different risk areas. Methods The incidence data of SFTS were collected by the Chinese Information System for Disease Control and Prevention,and the time and regional characteristics of SFTS cases were analyzed by descriptive epidemiology.Based on the annual average incidence of SFTS in Anhui Province from 2021 to 2023,the risk level of SFTS in counties (cities,districts) and townships was proposed. Results From 2021 to 2023,2 800 SFTS cases were reported in Anhui Province,distributed in 596 townships,74 counties (cities and districts),14 cities.the average annual incidence rate was 1.52/100 000,with 66 reported deaths and a fatality rate of 2.36%.In the epidemic areas,the first type areas were distributed across 15 counties (cities,districts),the second type areas across 11 counties (cities,districts),and the third type areas across 48 counties (cities,districts);non-epidemic areas were distributed across 30 counties (cities,districts). The first type of township was distributed in 47 townships across 16 counties (cities,districts);the second type of township was distributed in 549 townships across 73 counties (cities,districts). Among the first,second,and third types of areas,the highest number of reported cases were in Mingguang City (237 cases),Changfeng County (56 cases),and Huaining County (29 cases),respectively;the township with the highest number of reported cases among the first type of townships was Huanfeng Town in Hanshan County (42 cases).. Conclusion The reported incidence of SFTS in Anhui Province displays an upward trend,and the spread scope of the disease is gradually expanding.Identification of regions with different risk levels is helpful to classify and guide the prevention and control work of SFTS.
发热伴血小板减少综合征 / 流行特征 / 风险分级
Severe fever with thrombocytopenia syndrome / Epidemic characteristics / Risk classification
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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, which is caused by severe fever with thrombocytopenia syndrome virus (SFTSV) with high fatality. Recently, the incidence of SFTS increased obviously in Jiangsu Province. However, the systematic and complete analysis of spatiotemporal patterns and clusters coupled with epidemiological characteristics of SFTS have not been reported so far.
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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease and that is a severe threat to public health considering its high fatality and person-to-person transmission. In order to obtain an updated and deep understanding of the epidemiological characteristics of SFTS in mainland China, we used Pearson’s chi-squared test to compare the fatality rate and demographic characteristics in different groups. Data were analyzed in R3.6.1 (R Development Core Team 2018), while the visualization was performed in ArcGIS 10 (ESRI, Redlands, CA, USA), and the statistical significance was set at p < 0.05. A total of 13,824 SFTS cases involving 8899 lab-confirmed cases and 4925 probable cases were reported and included in the epidemiological analysis. Our study found that the number of SFTS cases showed an increasing trend with a small decrease in the past three years. The laboratory-confirmed rate was about 64.4%, which varied between different years and areas. Although most cases (99.3%) were distributed in 7 provinces (Henan, Shandong, Anhui, Hubei, Liaoning, Zhejiang, and Jiangsu), the regional distribution of SFTS gradually expanded from 5 provinces in 2010 to 25 provinces by 2019, especially at the town level. The SFTS cases were mainly sporadic. A total of 96.5% occurred from April to October, and 93.3% of cases were concentrated in middle-aged and elderly people (40–84 years old). Farmers were the main high-risk population. Female cases were slightly more than male cases; however, there were differences between different provinces. The mortality rate showed an increasing trend with age. Overall, the SFTS cases were mainly middle-aged and elderly farmers that sporadically distributed throughout seven provinces with a spatially expanding trend. The laboratory-confirmed rate varied in different years and provinces, which implied that the diagnosis and report criteria for SFTS should be further updated and unified in order to get a better understanding of its epidemiological characteristics and provide scientific data for SFTS control.
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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, and the number of cases has increased in recent years in Zhejiang Province, China. However, whether the seasonal distribution, geographic distribution, and demographic characteristics of SFTS have changed with the increase of incidence was unclear.
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宋丹丹, 龚磊, 吴家兵, 等. 安徽省发热伴血小板减少综合征部分流行地区蜱类分布调查[J]. 安徽预防医学杂志, 2020, 26(4):267-269+280.
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Severe Fever with Thrombocytopenia Syndrome (SFTS), caused by Dabie bandavirus (SFTSV), is an emerging infectious disease first identified in China. Since its discovery, infections have spread throughout East Asian countries primarily through tick bites but also via transmission between animals and humans. The expanding range of ticks, the primary vectors for SFTSV, combined with migration patterns of tick-carrying birds, sets the stage for the global spread of this virus. SFTSV rapidly evolves due to continuous mutation and reassortment; currently, no approved vaccines or antiviral drugs are available. Thus, the threat this virus poses to global health is unmistakable. This review consolidates the most recent research on SFTSV, including its molecular characteristics, transmission pathways through ticks and other animals, as well as the progress in antiviral drug and vaccine development, encompassing animal models and clinical trials.
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The growing epidemics of severe fever with thrombocytopenia syndrome (SFTS), an emerging tick-borne disease in East Asia, and its high case fatality rate have raised serious public health concerns.
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Severe fever with thrombocytopenia syndrome, which results in severe illness and has a high case-fatality rate, is caused by a novel bunyavirus, severe fever with thrombocytopenia syndrome virus. We found that samples from 2/237 (0.8%) healthy persons and 111/134 (83%) goats in Yiyuan County, Shandong Province, China, were seropositive for this virus.
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To analyze the spatial autocorrelation and spatiotemporal clustering characteristics of severe fever with thrombocytopenia syndrome(SFTS) in Anhui Province from 2011 to 2023.
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马涛, 陈聪, 丁松宁, 等. 2010—2023年南京市发热伴血小板减少综合征流行特征和空间聚集性[J]. 中国人兽共患病学报, 2024, 40(9):841-847.
目的 了解南京市发热伴血小板减少综合征(SFTS)报告发病趋势和波及范围,分析空间分布模式,探测高发聚集区域和重点人群,指导制定科学防控策略和措施。方法 通过“中国疾病预防控制信息系统”收集2010-2023年南京市报告SFTS病例信息,描述时间、人群和空间分布特征;利用Joinpoint回归分析报告发病率年度变化百分比(Annual percent change,APC);利用FlexScan空间扫描探测高发聚集区域。 结果 2010-2023年南京市报告SFTS 507例,APC为31.8%(95%CI:22.5%~41.9%,P<0.001),2023年报告发病率为1.42/10万(134例)。5-8月季节指数分别为2.7、2.1、3.0、1.3,共占76.1%。年龄中位数为66(IQR:55,73)岁,由2010-2011年的59岁,逐渐增加至2022-2023年的68岁(P<0.001),45岁及以上占94.1%;农民(63.7%)、家务及待业(14.2%)和离退人员(12.2%)共占90.1%。2010-2011年疫情波及4区11街道,2022—2023年增加至11区58街道;除2012-2013年外,全局空间自相关分析均Moran’s I>0(0.224~0.526,P<0.001),FlexScan扫描显示溧水区和江宁区的部分街道为一级聚集区域,2018-2023年浦口区4个街道为二级聚集区,2022-2023年六合区3个街道为二级聚集区,均P<0.05。 结论 南京市SFTS报告发病水平呈快速上升趋势,波及范围逐渐扩散,空间上呈聚集分布模式。建议加强医疗机构诊治技术和检测能力培训,强化高发地区监测、病例流调溯源和防蜱、防病知识宣教等。
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王爱凤, 陈晴晴, 刘敏鸿, 等. 安庆市2022—2023年发热伴血小板减少综合征病原学检测结果分析[J]. 安徽预防医学杂志, 2024, 30(4):280-284.
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