2016-2025年北京市朝阳区布鲁氏菌病流行特征及就诊情况分析

Analysis on epidemiological characteristics and treatment delay of brucellosis in Chaoyang district, Beijing, 2016−2025

  • 摘要:
    目的 探讨2016-2025年北京市朝阳区布鲁氏菌病(布病)疫情流行特征、感染来源及诊断延误情况,为大型城市布病临床诊疗和疫情防控提供科学依据。
    方法 收集2016年1月1日至2025年12月31日中国疾病预防控制信息系统、病例流行病学调查报告及重点人群监测资料;采用WPS 2023和R 4.5.2软件进行描述性统计,运用季节指数法、集中度法、圆形分布法分析季节性特征,Arcgis10.8分析空间自相关性,Joinpoint回归模型和Mann-Kendall检验分析趋势并计算年度变化百分比(APC)。
    结果 2016-2025年朝阳区各级医疗机构累计报告布病病例749例,以男性、50~<70岁、农民为主;病例呈季节性分布,3-8月为流行季节。同期现住址为朝阳区病例共65例,以男性、50~<70岁、家务及待业人员为主;全区无暴发疫情,呈散发状态,空间分布无明显聚集性(I=−0.02,Z=0.039,P=0.969),发病高峰约为6月10日。主要感染途径为食用未熟透牛羊肉(39.68%),首发症状以发热为主(88.89%)。就诊延误率25.40%,时序无统计学变化趋势(Z=0.365,P=0.715);诊断延误率为73.02%,呈显著上升趋势(Z=2.066,P=0.039,APC=11.67%);重点职业人群监测抗体阳性率为0.00%。
    结论 北京市朝阳区布病呈现输入性、食源性、非职业性、临床诊断困难的非典型流行特征,诊断延误问题严峻且呈上升趋势。建议加强跨区域联防联控与食源性风险管控,强化医防协同和医务人员诊疗培训,完善病例监测与闭环管理,提高布病早期识别、规范诊断和及时处置水平。

     

    Abstract:
    Objective To analyze the epidemiological characteristics of brucellosis in Chaoyang district, Beijing from 2016 to 2025, and provide evidence for the clinical diagnosis and treatment of brucellosis as well as epidemic prevention and control in large cities.
    Method The incidence data of brucellosis in Chaoyang were collected from China Disease Prevention and Control Information System, epidemiological investigation reports of brucellosis cases and surveillance in key occupational populations from January 1, 2016 to December 31, 2025. Descriptive statistics were performed by using WPS 2023 and R 4.5.2. The seasonal distribution of the disease was analyzed by using seasonal index, concentration degree, and circular distribution methods. The spatial autocorrelation was analyzed with ArcGIS 10.8. Joinpoint regression and Mann-Kendall test was used to analyze temporal trends, and the annual percentage change (APC) was calculated.
    Results A total of 749 brucellosis cases were reported by medical institutions in Chaoyang from 2016 to 2025, the cases were mainly men, aged 50−<70 years, and farmers. The incidence of brucellosis showed seasonal distribution, the cases mainly occurred during March - August. Meanwhile, a total of 65 cases were local residents in Chaoyang, they were mainly men, aged 50−<70 years, and the jobless/unemployed. No outbreaks occurred, and the cases were sporadic ones without significant spatial clustering (I=−0.02, Z=0.039, P=0.969). The annual incidence peak was around June 10. The consumption of undercooked beef or mutton was the main infection route (39.68%). Fever was the most common initial symptom (88.89%). The average delayed healthcare-seeking rate was 25.40%, with no significant temporal trend (Z=0.365, P=0.715). The average delayed diagnostic rate was 73.02%, showing a significant upward trend (Z=2.066, P=0.039, APC=11.67%).
    Conclusion The incidence of brucellosis in Chaoyang showed a typical epidemiological characteristics: i.e. imported transmission, foodborne transmission, non-occupational infection and difficult clinical diagnosis. The diagnosis of brucellosis was often delayed with an increased rate. It is suggested to strengthen cross area joint prevention and control, foodborne risk management, collaboration between medical treatment and disease control, professional training, case surveillance and closed-loop management to promote early identification, standardized diagnosis and timely response for brucellosis.

     

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