Comparison of epidemiological characteristics between hemorrhagic fever with renal syndrome patients and severe fever with thrombocytopenia syndrome patients

严重发热伴血小板减少综合征 病死率 医学 流行病学 病毒学 内科学 病毒
作者
Xiaogang Wang,Ying Liu,Rong Zhang,Jimin Sun,Jianmin Jiang,Li Wang
出处
期刊:Journal of Medical Virology [Wiley]
卷期号:96 (8)
标识
DOI:10.1002/jmv.29845
摘要

Abstract Hemorrhagic fever with renal syndrome (HFRS) and severe fever with thrombocytopenia syndrome (SFTS) are both endemic in rural areas and some characteristics are similar between HFRS and SFTS, which usually lead to misdiagnosis. In this study, we summarized and compared some characteristics of HFRS and SFTS which will provide scientific information for differential diagnosis. From 2011 to 2022, a total of 4336 HFRS cases and 737 SFTS cases were reported in Zhejiang Province. Compared to SFTS, there was a higher proportion of males among HFRS cases (72.46% [3142/4336] vs. 50.88% [375/737], p = 0.000). The median age of all 4336 HFRS cases was 49 (39, 59), while the median age of SFTS cases was 66 (57, 74). In addition, the involved counties of HFRS were more than SFTS, but the number of counties affected by SFTS increased from 2011 to 2022. The majority of SFTS cases occurred in summer (from May to July), but besides summer, HFRS cases also showed a peak in winter. Finally, our results showed that the case fatality rate of SFTS was significantly higher than that of HFRS. Although there were some similarities between HFRS and SFTS, our study found several differences between them, such as gender distribution, age distribution, and seasonal distribution, which will provide scientific information for differential diagnosis of HFRS and SFTS. Further studies should be carried out to explore the mechanism of these differences.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
可爱的函函应助Jey采纳,获得10
1秒前
海鱼发布了新的文献求助10
2秒前
tdd完成签到,获得积分10
2秒前
Iron_five完成签到 ,获得积分10
3秒前
gujianhua完成签到,获得积分10
3秒前
3秒前
leeyc完成签到,获得积分10
3秒前
田様应助萧梦旋采纳,获得10
3秒前
可爱的函函应助hao采纳,获得10
4秒前
4秒前
Steven发布了新的文献求助10
4秒前
研友_LOqqmZ发布了新的文献求助20
4秒前
cccy完成签到,获得积分10
4秒前
安南发布了新的文献求助10
5秒前
故笺完成签到,获得积分10
5秒前
yanning发布了新的文献求助10
6秒前
小叶爱学习完成签到,获得积分10
6秒前
6秒前
leeyc发布了新的文献求助10
6秒前
ys118发布了新的文献求助10
7秒前
cccy发布了新的文献求助10
7秒前
9秒前
Kevin发布了新的文献求助10
9秒前
嗯哼应助liangxianli采纳,获得10
10秒前
优美的橘子完成签到 ,获得积分10
10秒前
SciGPT应助科研小废物采纳,获得10
10秒前
酷酷小子完成签到 ,获得积分10
11秒前
wait发布了新的文献求助10
12秒前
直率的乐萱完成签到 ,获得积分10
13秒前
13秒前
李友健完成签到 ,获得积分10
14秒前
科研通AI2S应助大方的寻雪采纳,获得10
18秒前
Jey发布了新的文献求助10
18秒前
ccc完成签到,获得积分10
18秒前
鱼缸水发布了新的文献求助30
18秒前
shirley完成签到,获得积分10
20秒前
张晓玥完成签到,获得积分10
20秒前
20秒前
田様应助大佛老爷采纳,获得10
21秒前
高分求助中
Medicina di laboratorio. Logica e patologia clinica 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Geochemistry, 2nd Edition 地球化学经典教科书第二版 401
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3216436
求助须知:如何正确求助?哪些是违规求助? 2865511
关于积分的说明 8148151
捐赠科研通 2532052
什么是DOI,文献DOI怎么找? 1365593
科研通“疑难数据库(出版商)”最低求助积分说明 644515
邀请新用户注册赠送积分活动 617338