Epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome in Zhejiang Province
10.19485/j.cnki.issn2096-5087.2026.01.002
- Author:
LÜ Jing
;
XU Xinying
;
QIAO Yingyi
;
SHI Xinglong
;
YUE Fang
;
LIU Ying
;
CHENG Chuanlong
;
ZHANG Yuqi
;
SUN Jimin
;
LI Xiujun
- Publication Type:Journal Article
- Keywords:
severe fever with thrombocytopenia syndrome；epidemiological characteristics；bayesian spatio-temporal
- From:
Journal of Preventive Medicine
2026;38(1):10-14
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control.
Methods:Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence.
Results:A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk.
Conclusions:SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.
- Full text:2026020215493888312浙江省发热伴血小板减少综合征流行特征及影响因素分析.pdf
