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Analysis of the Bandavirus dabieense detection results in Dingyuan County of Anhui Province in 2022
LU Liangyu, LI Xin, HAN Yan, CHEN Aiqin
Anhui Journal of Preventive Medicine ›› 2025, Vol. 31 ›› Issue (6) : 503-506.
PDF(1553 KB)
PDF(1553 KB)
Analysis of the Bandavirus dabieense detection results in Dingyuan County of Anhui Province in 2022
Objective To understand the infection status of Bandavirus dabieense in Dingyuan County in Anhui Province in 2022, and to provide scientific basis for disease prevention and control. Methods Nucleic acid test was carried out on serum samples of suspected Bandavirus dabieense infection cases reported by medical institutions in Dingyuan County by fluorescence quantitative RT-PCR. Meanwhile, demographic data of suspected Bandavirus dabieense infection cases were collected, and SPSSPRO was used for statistical analysis. Results A total of 55 suspected cases of Bandavirus dabieense infection were collected, and 26 cases tested positive for Bandavirus dabieense nucleic acid, with a positive detection rate of 47.27%. The peak of Bandavirus dabieense infection occurred from May to August, with the number of Bandavirus dabieense nucleic acid positive cases accounting for 73.08% (19/26) of the year. In terms of gender distribution, the positive detection rate of males was 40.00% (12/30), and the positive detection rate of females was 56.00% (14/25), with no statistically significant difference (χ2=1.401, P=0.237). In terms of age distribution, the detection rate of Bandavirus dabieense nucleic acid positivity was 64.00% (16/25) among those aged 60 years and above, followed by those aged 50-59 years with a positive rate of 39.13% (9/23). The difference in positive rates between different age groups was statistically significant (χ2=6.248, P=0.045). In terms of regional distribution, the positive detection rate of Bandavirus dabieense nucleic acid in Fuxiao Town was 84.62% (11/13), followed by Outang Town and Jiepai Town, both with a positive detection rate of 45.45% (5/11), and the difference was statistically significant (χ2=11.852, P=0.047). Among the positive cases detected for the Bandavirus dabieense, 96.15% (25/26) were farmers. Conclusion The Bandavirus dabieense infection in Dingyuan County is mainly among people aged 60 and above, with farmers as the main population. In addition, Bandavirus dabieense infection has obvious seasonal and regional characteristics.
Bandavirus dabieense / Severe fever with thrombocytopenia syndrome / Detection
| [1] |
陈远, 叶吉波, 邵水儿. 舟山地区新布尼亚病毒感染致发热伴血小板减少综合征患者死亡危险因素分析[J]. 中国卫生检验杂志, 2019, 29(19):2414-2417.
|
| [2] |
尤爱国, 杨建华, 唐晓燕, 等. 新布尼亚病毒感染致发热伴血小板减少综合征的危险因素分析[J]. 中国人兽共患病学报, 2015, 31(8):704-708.
目的探讨新布尼亚病毒感染致发热伴血小板减少综合征发病的危险因素。方法采用1∶2配对的病例-对照研究,对40例病例和80例对照进行问卷调查,同时采集患者血清标本,应用荧光RT-PCR和IgM、IgG抗体试剂盒检测新布尼亚病毒核酸及抗体。采用条件Logistic回归分析发病的危险因素。结果病例组农民占90.00%(36/40),显著高于对照组62.50%(50/80)(P<0.01)。病例组暴露于养狗、养猫、养牛、家禽养殖、生活区周围有蜱、病前1月被蜱叮咬、从事田间作业、工作区及住宅周围有杂草灌木的风险显著高于对照组(OR值均大于1,P值均小于0.05)。多因素分析表明,在调整了性别、年龄、民族和职业因素后,生活区周围有蜱(OR=5.44, P<0.01)是新布尼亚病毒感染致发热伴血小板减少综合征发病的危险因素。结论不同形式的蜱暴露为新布尼亚病毒感染致发热伴血小板减少综合征的危险因素。
|
| [3] |
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]. 中华临床感病杂志, 2011, 4(4):193-194.
|
| [4] |
胡立芬, 龚磊, 李春辉, 等. 发热伴血小板减少综合征感染防控专家共识[J]. 中华疾病控制杂志, 2024, 28(6):621-628.
|
| [5] |
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.
目的 了解浙江省2021年发热伴血小板减少综合征（SFTS）流行病学特征及蜱媒监测情况。方法 浙江省2021年SFTS病例数据来源于中国疾病预防控制信息系统，采用描述性流行病学方法分析SFTS病例的时间、人群、地区分布特征。2021年3－10月选择浙江省8个县（市、区）设置蜱媒监测点，利用人工布旗法和动物体表检蜱法采集游离蜱和寄生蜱。利用Excel 2013、SPSS 17.0软件对全省SFTS病例和媒介监测数据进行整理、统计分析，运用ArcGIS 10.0软件绘制以区（县）为单位发病率地图。结果 2021年浙江省累计报告SFTS病例85例，报告发病率为0.15/10万，病死率为8.24%（7/85）。病例分布于8个地市的23个县（市、区），报告病例数居前3位的地区为金华市（27例）、台州市（27例）和宁波市（11例）。发病时间主要集中在4－10月，5－7月为发病高峰期。报告病例中男性和女性发病率差异无统计学意义（χ<sup>2</sup>=1.347，P=0.246）；发病年龄以中老年为主，中位年龄67岁；职业以农民为主，占80.00%（68/85）。发病前2周有明确蜱叮咬史的病例占17.65%（15/85）。农村外环境游离蜱共采集590只，平均游离蜱密度为18.44只/（布旗·人工时）；共计监测动物数量688只（头），采集蜱2 406只，平均寄生蜱密度3.50只/宿主。结论 浙江省SFTS以散发为主，发病具有明显的地区性和季节性，主要发病人群为中老年和农民。传播媒介游离蜱和寄生蜱密度较高。
|
| [6] |
叶正文, 温克雨, 张为顺. 巢湖市2018—2022年发热伴血小板减少综合征流行病学调查分析[J]. 安徽预防医学杂志, 2023, 29(3):209-212+262.
|
| [7] |
雷新军, 孔金屏, 熊进峰, 等. 发热伴血小板减少综合征的流行病学特征及其与蜱密度消长的关系[J]. 上海预防医学, 2022, 34(7):646-649.
|
| [8] |
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with the high case-fatality rate, and lack of vaccines. We aimed to systematically analysed the epidemiological characteristics, clinical signs, routine laboratory diagnosis, risk factors, and outcomes.
|
| [9] |
|
| [10] |
岳玉娟, 任东升, 鲁亮. 2010—2021年中国发热伴血小板减少综合征流行病学分析[J]. 疾病监测, 2024, 39(7):824-830.
|
| [11] |
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.
|
| [12] |
施旭光, 孙继民, 刘营, 等. 2015—2019年浙江省发热伴血小板减少综合征流行特征分析[J]. 疾病监测, 2021, 36(5):431-435.
|
| [13] |
黄晓霞, 李阿茜, 李德新, 等. 2018年中国发热伴血小板减少综合征流行特征分析[J]. 中国病毒病杂志, 2020, 10(6):417-420.
|
| [14] |
滕雪娇, 邓舒, 赵玉秋, 等. 2011—2022年安徽省发热伴血小板减少综合征流行特征分析[J]. 疾病监测, 2024, 39(1):48-52.
|
| [15] |
张文杰, 姚慧, 高红霞. 山东威海地区发热伴血小板减少综合征流行病学特征及新型布尼亚病毒感染的影响因素[J]. 公共卫生与预防医学, 2022, 33(5):36-39.
|
| [16] |
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