获取途径

作者

Xin Yang, Cheng-Juan Liu, Hong-Han Ge, Chun-Hui Li, Li-Fen Hu, Xiao-Ai Zhang, Ming Yue, Pei-Jun Guo, Wei Liu

作者单位

Affiliations ¹ State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing 100071, China. ² Yantai Center for Disease Control and Prevention, Yantai 264003, China. ³ School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China. ⁴ The First Affiliated Hospital of Anhui Medical University, Hefei 230032, China. ⁵ Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.

刊名

Pathogens (Basel, Switzerland)

年份

2026

卷号

Vol.15 No.3

页码

328

ISSN

2076-0817

关键词

long-term surveillance risk factors severe fever with thrombocytopenia syndrome tick.

摘要

Background: Severe fever with thrombocytopenia syndrome has become an increasing public health threat in China, with Yantai City representing a major endemic focus. A fine-scale, long-term epidemiological analysis integrating human case data with vector surveillance is essential for understanding local transmission dynamics. Methods: We conducted a retrospective analysis using 12-year county-level SFTS surveillance data from Yantai City. Temporal trends were analyzed by Joinpoint regression. C...更多

Background: Severe fever with thrombocytopenia syndrome has become an increasing public health threat in China, with Yantai City representing a major endemic focus. A fine-scale, long-term epidemiological analysis integrating human case data with vector surveillance is essential for understanding local transmission dynamics. Methods: We conducted a retrospective analysis using 12-year county-level SFTS surveillance data from Yantai City. Temporal trends were analyzed by Joinpoint regression. Concurrent field surveillance of Haemaphysalis longicornis was used to quantify local SFTSV infection rates in ticks. Associations between SFTS incidence and environmental/livestock factors were evaluated using Spearman's correlation and multivariable negative binomial regression. Results: A total of 1964 SFTS cases were reported. The annual incidence rate increased from 0.65 to 5.12 per 100,000 population, with an average annual percentage change of 13.56% 2013-2024, showing the most substantial rise among the elderly. Marked spatial heterogeneity was observed, with county-level mean incidence ranging from 0.30 to 5.23 per 100,000. The SFTSV infection rate in ticks surged from 0.54% in 2019 to 3.24% in 2024, and showed a strong positive correlation with human incidence both seasonally and across counties , a pattern likely driven by shared environmental factors. Multivariable analysis identified grassland coverage , woodland coverage , goat density , and tick infection rate as independent risk factors, while urban land was protective . The overall case fatality rate was 8.86%, showing a declining trend, but was significantly higher in males than in females , particularly among the elderly. Conclusions: SFTS incidence in Yantai increased significantly over the past decade, characterized by a heightened burden on the elderly and strong spatiotemporal clustering. Risk is independently mediated by ecological interfaces, notably woodland/grassland habitats and goat rearing. These findings delineate high-risk areas and populations, offering crucial insights for developing targeted public health strategies.收起

文献类型

期刊

浏览量

2