【摘要】 目的 对湖北省2015—2024年报告的登革热报告病例的流行病学特征进行分析，为优化区域登革热防控策略提供参考依据。方法 使用描述流行病学、空间自相关对中国疾病预防控制信息系统中2015—2024年湖北省登革热病例监测资料进行分析。结果 2015—2024年湖北省共计报告登革热病例557例，输入病例505例（占90.67%），输入地区以柬埔寨和广东为主，男女性别比为2.59∶1,30～<60岁青壮年占68.76%,44.70%职业为农民/民工。发病高峰期为7—11月，根据发病情况,湖北省登革热流行可分为2015—2018年、2019年、2020—2022年、2023—2024年4个阶段，其中，2019年、2023年、2024年报告本地病例，不同时期流行病学特征差异有统计学意义，主要表现在年龄、职业、病例类型、发病—诊断时间间隔和输入来源情况（P<0.05）。除神农架林区外，报告病例波及湖北省16个地市86个县区，其中本地病例波及湖北省5个地市11个县区且范围持续扩大，2019年、2024年病例分布存在空间聚集性（全局Moran’s I>0，呈正相关，P<0.05），局部空间自相关分析显示武汉市、鄂州市、黄冈市及黄石市4个地市交界周边地区为输入和本地病例聚集区域，是湖北省登革热防控重点地区。结论 2015—2024年湖北省登革热以输入病例为主，不同时期流行病学特征有差异，发病存在空间聚集性且波及范围持续扩大，应在高发季节针对重点地区和人群加强防控措施。更多还原

【Abstract】 Objective To analyze the epidemiological characteristics of dengue fever(DF) cases reported in Hubei Province from 2015 to 2024, providing a reference for optimizing regional DF prevention and control strategies.Methods Descriptive epidemiology and spatial autocorrelation were used to analyze DF case surveillance data from 2015 to 2024 in Hubei Province, sourced from the China CDC Information System.Results From 2015 to 2024, a total of 557 DF cases were reported in Hubei Province, including 505 imported cases(90.67%). The main sources of importation were Cambodia and Guangdong. The male-to-female ratio was 2.59∶1, with 68.76% of cases occurring in young and middle-aged adults aged 30-59 years, and 44.70% being farmers or migrant workers. The peak incidence period was July to November.Based on the incidence status, DF epidemics in Hubei Province can be divided into four phases: 2015-2018, 2019, 2020-2022, and 2023-2024. Local cases were reported in 2019, 2023, and 2024. Epidemiological characteristics differed significantly across these phases, mainly in terms of age, occupation, case type, time interval from onset to diagnosis, and importation source(all P<0.05). Except for the Shennongjia Forestry District, reported cases have affected 86 counties and districts across 16 prefecture-level cities in Hubei Province, while local cases affected 11 counties in 5 cities, with the scope continuing to expand. Cases in 2019 and 2024 exhibited spatial clustering patterns(global Moran’s I>0, indicating positive correlation; P<0.05). Local spatial autocorrelation analysis identified that the border areas among four cities—Wuhan, Ezhou,Huanggang, and Huangshi—as hotspots for both imported and local cases, making them key regions for DF prevention and control in Hubei Province.Conclusion From 2015 to 2024, DF in Hubei Province was predominantly caused by imported cases, with varying epidemiological characteristics across different periods. The disease exhibited spatial clustering, and its geographic scope continued to expand. Enhanced prevention and control measures should be implemented during highincidence seasons, targeting key areas and populations.更多还原