清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

[Epidemiological characteristics of severe fever with thtrombocytopenia syndrome in China, 2011-2021].

严重发热伴血小板减少综合征 病死率 流行病学 中国 地理 人口学 入射(几何) 医学 疾病控制 社会经济学 环境卫生 病毒学 病毒 物理 考古 社会学 内科学 光学
作者
Q L Chen,Man-Tong Zhu,N Chen,Dejie Yang,Wenwu Yin,Dezhi Mu,Y Li,Y P Zhang,Zainawudong Yushan
出处
期刊:PubMed 卷期号:43 (6): 852-859 被引量:26
标识
DOI:10.3760/cma.j.cn112338-20220325-00228
摘要

Objective: To analyze the epidemiological characteristics of severe fever with thrombocytopenia syndrome (SFTS) in China from 2011 to 2021, and provide evidence for the prevention and control of SFTS. Methods: The incidence data of SFTS were collected from the National Disease Reporting Information System of Chinese Center for Disease Control and Prevention for a descriptive epidemiological analysis and Cochran-Armitage trend test was used to evaluate the association between age and the morbidity rate and case fatality rate (CFR) of SFTS. Results: From 2011 to 2021, a total of 18 902 laboratory confirmed cases of SFTS, including 966 deaths, were reported in 533 counties (districts) of 154 prefecture-level cities in 27 provinces. The annual average morbidity rate was 0.125/100 000, and the annual average CFR was 5.11%. From 2011 to 2021 the overall morbidity rate of SFTS was in increase with an average annual percentage change (AAPC) of 14.80% (P=0.001). Most cases (99.23%) occurred in 7 provinces, including Shandong, Henan, Anhui, Hubei, Liaoning, Zhejiang and Jiangsu, with 70.28% of the cases in 11 prefecture-level cities. The average annual CFRs in the 7 provinces varied greatly from 1.30% to 11.27%. In 2011, SFTS cases were reported in 108 counties (districts) of 51 prefecture-level cities in 13 provinces, but SFTS cases were reported in 277 counties (districts) of 88 prefecture-level cities in 19 provinces in 2021, the disease spread from central area to the northeast and from the west and the south. SFTS mainly occurred in summer and autumn in both southern and northern China, and 96.63% of the cases were reported from April to October, and the incidence peak was during May-June. The cases mainly occurred in age group 50-74 years (69.46%), and the deaths mainly occurred in age group ≥60 years (79.71%). Both the morbidity rate and the CFR increased with age. The morbidity rate increased from 0.040/100 000 in age group 0-4 years to 4.480/100 000 in age group ≥80 years in males (χ²=13 185.21, P<0.001) and from 0.038/100 000 in age group 0-4 years to 3.318/100 000 in age group ≥80 years in females (χ²=12 939.83, P<0.001); the CFR increased from 0.70% in age group 30-34 years to 11.58% in age group ≥80 years in males (χ²=115.70, P<0.001) and from 1.56% in age group 35-39 years to 8.98% in age group ≥80 years in females (χ²=103.42, P<0.001). Conclusion: From 2011 to 2021, the incidence of SFTS increased in China, and the spread and obvious spatiotemporal distribution of SFTS were observed. The reported CFR varied greatly with area, and both the morbidity and mortality risk were high in the elderly.目的: 了解2011-2021年我国发热伴血小板减少综合征(SFTS)的流行特征,为修订防控策略提供依据。 方法: 从中国疾病预防控制信息系统传染病报告信息管理系统获取SFTS数据,采用描述性流行病学方法,用Cochran-Armitage趋势检验验证发病率、病死率随年龄变化趋势。 结果: 2011-2021年全国27个省154个地级市533个县(区)共报告SFTS确诊病例18 902例,死亡966例,年均发病率为0.125/10万,年均病死率为5.11%。此11年间全国SFTS发病率整体呈上升趋势,平均年度变化百分比为14.80%(P=0.001)。全国99.23%的病例集中于河南、山东、湖北、安徽、江苏、浙江和辽宁7个省,70.28%的病例集中于11个地级市。上述7个省年均病死率差别较大(1.30%~11.27%)。报告地区由2011年13个省51个地级市108县(区),上升到2021年的19个省88个地级市277县(区),从中部向东北、西部和南方扩散。南、北方发病均集中在夏、秋季,4-10月发病数占全年的96.63%,5-6月达高峰。发病年龄集中在50~74岁年龄组(69.46%),死亡病例集中在≥60岁年龄组(79.71%)。发病率和病死率均随年龄增加:发病率男性由0~4岁年龄组的0.040/10万增加到≥80岁的4.480/10万(χ²=13 185.21,P<0.001),女性由0~4岁年龄组的0.038/10万增加到≥80岁的3.318/10万(χ²=12 939.83,P<0.001);病死率男性由30~34岁年龄组的0.70%增加到≥80岁的11.58%(χ²=115.70,P<0.001),女性由35~39岁年龄组的1.56%增加到≥80岁的8.98%(χ²=103.42,P<0.001)。 结论: 2011- 2021年我国SFTS发病呈上升、扩散趋势,具有明显时空聚集性;不同地区报告病死率差别较大,中老年人群发病及病死风险高。.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
10秒前
zjy发布了新的文献求助10
14秒前
20240901完成签到,获得积分10
16秒前
权小夏完成签到 ,获得积分10
19秒前
我是老大应助zjy采纳,获得10
21秒前
43秒前
传奇完成签到 ,获得积分10
47秒前
和谐的夏岚完成签到 ,获得积分10
56秒前
regene完成签到,获得积分10
1分钟前
炮炮发布了新的文献求助10
1分钟前
海阔天空完成签到 ,获得积分10
2分钟前
善良的剑通完成签到 ,获得积分10
2分钟前
清脆的大开完成签到,获得积分10
2分钟前
淡淡醉波wuliao完成签到 ,获得积分10
2分钟前
陈晓迪1992发布了新的文献求助10
2分钟前
SL完成签到,获得积分10
2分钟前
陈晓迪1992完成签到,获得积分10
3分钟前
3分钟前
欢呼的茗茗完成签到 ,获得积分10
3分钟前
炮炮完成签到,获得积分10
3分钟前
酷波er应助科研通管家采纳,获得10
3分钟前
3分钟前
陈陈陈完成签到 ,获得积分10
4分钟前
FloppyWow发布了新的文献求助10
5分钟前
FloppyWow发布了新的文献求助10
5分钟前
FloppyWow发布了新的文献求助10
5分钟前
开心每一天完成签到 ,获得积分10
5分钟前
852应助科研通管家采纳,获得10
5分钟前
FloppyWow发布了新的文献求助10
5分钟前
图喵喵完成签到,获得积分10
5分钟前
FloppyWow发布了新的文献求助10
5分钟前
5分钟前
言屿发布了新的文献求助10
5分钟前
学术小垃圾完成签到,获得积分10
5分钟前
FloppyWow发布了新的文献求助10
6分钟前
言屿完成签到,获得积分10
6分钟前
wo完成签到 ,获得积分10
6分钟前
FloppyWow发布了新的文献求助10
6分钟前
科研通AI2S应助含糊的雨安采纳,获得10
6分钟前
FloppyWow发布了新的文献求助10
6分钟前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
Study of enhancing employee engagement at workplace by adopting internet of things 200
Minimum Bar Spacing as a Function of Bond and Shear Strength 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3837511
求助须知:如何正确求助?哪些是违规求助? 3379623
关于积分的说明 10510014
捐赠科研通 3099208
什么是DOI,文献DOI怎么找? 1707001
邀请新用户注册赠送积分活动 821368
科研通“疑难数据库(出版商)”最低求助积分说明 772597