Jinan Municipal Center for Disease Control and Prevention, Jinan, China.
Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China.
PLoS Negl Trop Dis. 2023 Dec 22;17(12):e0011807. doi: 10.1371/journal.pntd.0011807. eCollection 2023 Dec.
Severe fever with thrombocytopenia syndrome (SFTS) has become a significant public health issue in Jinan City. However, the analysis of epidemiological characteristics and spatio-temporal clustering of SFTS in Jinan has not been studied yet.
SFTS data from 2018-2022 in Jinan City were obtained from the China Information System for Disease Control and Prevention. Global spatial autocorrelation and local spatial autocorrelation analyses were performed using ArcGIS 10.2 software, and spatiotemporal hotspot area detection was carried out using SatScan 9.6 software.
Between 2018 and 2022, 680 SFTS cases were reported in Jinan City, resulting in 53 deaths and an average case fatality rate of 7.8%. 99.0% of cases occurred between April and October, 91.9% individuals were over 50 years old, and 87.79% were primarily farmers. A positive spatial correlation of SFTS in Jinan was observed (Moran's I value between 0.135-0.197, P<0.001), indicating spatial aggregation, primarily in Licheng, Zhangqiu, Laiwu, and Gangcheng districts in southeastern Jinan. Spatiotemporal scanning detected one class I and two class II aggregation areas, with the class I aggregation area (RR = 5.66, LLR = 192.547, P<0.001) locating in southeastern Jinan City, comprising 31 towns/streets, and an aggregation time from 13 May 2020 to 13 October 2022.
Spatial and temporal aggregation of SFTS is evident in Jinan. Based on the spatial and temporal distribution and epidemiological characteristics, prevention and control measures such as public education, monitoring, and training should target key populations in high-incidence epidemic areas.
发热伴血小板减少综合征(SFTS)已成为济南市重大公共卫生问题。然而,济南市 SFTS 的流行病学特征和时空聚集性分析尚未研究。
从中国疾病预防控制信息系统获取济南市 2018-2022 年 SFTS 数据。使用 ArcGIS 10.2 软件进行全局空间自相关和局部空间自相关分析,使用 SatScan 9.6 软件进行时空热点区域探测。
2018-2022 年济南市共报告 SFTS 病例 680 例,死亡 53 例,病死率为 7.8%。病例主要集中在 4-10 月,占 99.0%;年龄大于 50 岁者占 91.9%,主要职业为农民,占 87.79%。济南市 SFTS 存在正空间自相关(Moran's I 值为 0.135-0.197,P<0.001),呈空间聚集性,主要集中在东南部历城区、章丘区、莱芜区和钢城区。时空扫描探测到 1 个一级聚集区和 2 个二级聚集区,一级聚集区(RR=5.66,LLR=192.547,P<0.001)位于济南市东南部,涉及 31 个镇/街道,聚集时间为 2020 年 5 月 13 日至 2022 年 10 月 13 日。
济南市 SFTS 存在时空聚集性。根据时空分布和流行病学特征,应针对高发疫区的重点人群开展公众教育、监测和培训等防控措施。