2009-2024年北京市自然疫源和虫媒传播法定传染病流行特征分析

Epidemiological characteristics of natural focal and vector-borne notifiable infectious diseases in Beijing, 2009—2024

  • 摘要:
    目的 分析2009—2024年北京市自然疫源性和虫媒传播法定传染病的流行特征。
    方法 基于北京市法定传染病报告数据,采用描述流行病学方法分析时间、地区和人群分布特征,使用Joinpoint回归模型评估发病率的变化趋势。
    结果 2009—2024年北京市共报告自然疫源性和虫媒传播法定传染病3 095例,死亡93例。 报告病例数居前5位的病种依次为布鲁氏菌病(布病)、疟疾、登革热、肾综合征出血热(出血热)和狂犬病,占总病例数的94.34%。 北京市自然疫源和虫媒传播法定传染病均呈现上升–下降–上升的变化趋势,其发病高峰分别为3—7月和7—10月。 城区自然疫源性传染病占比低于近郊区和远郊区(χ2=751.764,P<0.001)。 病例以男性、20~<60岁年龄组为主,职业以农牧民、家务待业和干部职员居多。 临床诊断方面,跨区诊断病例占63.59%,88.14%的病例由三级医疗机构报告。 自然疫源性传染病确诊病例所占比例低于虫媒传染病(χ2=38.297,P<0.001),从发病到诊断的间隔时间长于虫媒传染病(P<0.001)。
    结论 2009—2024年北京市自然疫源性和虫媒传播法定传染病在地区、人群分布和诊疗特征上存在明显差异。

     

    Abstract:
    Objective To analyze the epidemiological characteristics of natural focal diseases and vector-borne notifiable infectious diseases in Beijing from 2009 to 2024.
    Methods Based on the surveillance data of notifiable infectious diseases in Beijing, descriptive epidemiological methods were used to analyze the temporal, spatial, and population distribution characteristics of the diseases. Joinpoint regression model was used to evaluate the changing trends of incidence rates of the diseases.
    Results A total of 3,095 cases of natural focal and vector-borne notifiable infectious diseases were reported in Beijing during 2009–2024, including 93 deaths. The top five diseases in terms of case count were brucellosis, malaria, dengue fever, hemorrhagic fever, and rabies, accounting for 94.34% of the total reported cases. The incidence of natural focal and vector-borne notifiable infectious diseases in Beijing showed a fluctuating trend of increase, decrease and increase again, with annual incidence peaks being observed during March–July and during July–October respectively. The proportion of natural focal infectious disease cases in urban areas was significantly lower than that in suburban and exurban areas (χ2=751.764, P<0.001). The cases were mainly men, those aged ≥20 years and those aged <60 years, and most cases were farmers and herdsmen, the jobless/unemployed and staff members. In terms of clinical diagnosis characteristics, 63.59% of the cases diagnosed were from different districts, and 88.14% of the cases were reported by grade III hospitals. The proportion of confirmed cases of natural focal infectious disease was lower than that of vector-borne notifiable infectious disease (χ2=38.297, P<0.001), and the interval from onset to diagnosis of natural focal infectious disease was longer than that of vector-borne notifiable infectious disease (P<0.001).
    Conclusion Significant differences existed in the spatial and population distributions, as well as the diagnosis and treatment characteristics between natural focal disease and vector-borne notifiable infectious disease in Beijing from 2009 to 2024.

     

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