Epidemiological characteristics and spatial clustering of severe fever with thrombocytopenia syndrome in Nanjing from 2010 to 2023
10.3969/j.issn.1002-2694.2024.00.125
- VernacularTitle:2010-2023年南京市发热伴血小板减少综合征流行特征和空间聚集性
- Author:
Tao MA
1
;
Cong CHEN
;
Song-Ning DING
;
Qing XU
;
Jun-Jun WANG
;
Heng-Xue WANG
;
Zi-Kang YAN
;
Meng-Yuan TIAN
;
Yuan-Zhao ZHU
;
Hui-Hui LIU
Author Information
1. 南京市疾病预防控制中心急性传染病防制科,南京 210003
- Keywords:
severe fever with thrombocytopenia syndrome;
epidemiologic characteristics;
spatial autocorrelation;
spatial clustering;
monitor
- From:
Chinese Journal of Zoonoses
2024;40(9):841-847
- CountryChina
- Language:Chinese
-
Abstract:
This study was aimed at understanding the trends in,and scope of,severe fever with thrombocytopenia syndrome(SFTS)in Nanjing,analyzing the spatial distribution pattern,detecting high incidence cluster areas and key popula-tions,and scientifically guiding prevention and control strategies and measures.We obtained data on SFTS cases from 2010 to 2023 in Nanjing from the China Disease Control and Prevention Information System,and described the time,popu-lation,and spatial distribution characteristics.We used joinpoint regression to calculate the annual percentage change(APC)in incidence,then used FleXScan spatial clustering scan analysis to explore spatial clustering areas at the street level.A total of 507 SFTS cases were reported from 2010 to 2023 in Nanjing.The APC was 31.8％(95％CI:22.5％-41.9％,P＜0.001),and the reported incidence in 2023 was 1.42/100 000(134 cases).The seasonal indices from May to August were 2.7,2.1,3.0,and 1.3,respectively,accounting for 76.1％of the total cases.The median age was 66(IQR:55,73)years,which gradually increased from 59 years in 2010-2011 to 68 in 2022-2023(P＜0.001);94.1％of cases were in individuals 45 years or older.Farmers,homemakers/unemployed individuals,and retirees accounted for 90.1％.The epidemic area increased from 11 streets in four districts in 2010-2011 to 58 streets in 11 dis-tricts in 2022-2023.Except for 2012-2013,global spatial autocorrelation analysis showed positive Moran's I values(0.224-0.526,P＜0.001),and FlexScan scan indicated that several streets in Lishui District and Jiangning District were the most likely clusters.Four streets in Pukou District were the secondary clusters from 2018 to 2023,and three streets in Luhe District in 2022-2023 were the secondary clusters(all P＜0.05).The reported incidence of SFTS in Nanjing showed a rapid upward trend,with spread of epidemic areas.The spatial distribution pattern was clustered.Strengthened training in diagnosis and treatment technology and detection ability of medical institutions,surveillance in high-incidence areas,tracing of case flow,and health education of tick and disease prevention knowledge are recommended.
