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2017—2023年内蒙古自治区人间布鲁氏菌病流行病学特征分析:基于时间序列模型预测

Epidemiological features of human brucellosis in Inner Mongolia Autonomous Region from 2017 to 2023: prediction based on time series model

  • 摘要:
    目的 了解内蒙古自治区人间布鲁氏菌病(简称“布病”)疫情动态,掌握流行特征,为预警预测及制定防控措施提供科学依据。
    方法 采用2017—2023年中国疾病预防控制信息系统收集内蒙古自治区人间布病个案数据,应用描述性分析方法分析人间布病疫情流行特征,应用时间序列模型(ARIMA)预测布病流行趋势。
    结果 2017—2023年,内蒙古自治区人间布病病例各年度报告发病率分别为30.63/10万、39.92/10万、56.84/10万、64.77/10万、91.03/10万、79.57/10万和70.34/10万。2017—2021年呈上升趋势,2022—2023年有所下降,趋势χ2检验差异有统计学意义(χ2=7 843.95,P<0.001);发病具有明显季节性(Z=5 561.78,P<0.01);男女性别比为2.20:1,农民占78.4%;发病到诊断时间间隔为0~15 d的病例占比呈逐年上升趋势,差异有统计学意义(χ2=419.38,P<0.001);报告病例中急性期病例占80.21%、亚急性期病例占16.27%;报告病例由急性期和亚急性期转为慢性期比例逐年下降,差异有统计学意义(χ2=581.18,P<0.01)。选择赤池信息准则(akaike information criterion, AIC)值最小224.65建立模型ARIMA(2,1,1)(0,1,1)12为最优模型,预测拟合效果较理想。
    结论 2017—2021年内蒙古自治区人间布病报告发病率总体呈上升趋势,2022—2024年呈下降趋势。

     

    Abstract:
    Objective To understand the epidemic dynamics and epidemiological characteristics of human brucellosis in Inner Mongolia Autonomous Region, thus providing a scientific basis for early warning, prediction, and prevention and control of this disease.
    Methods On the basis of the case data of human brucellosis in Inner Mongolia Autonomous Region from 2017 to 2023 in the China Information System for Disease Control and Prevention, descriptive analysis was performed to reveal the epidemiological characteristics of human brucellosis, and the ARIMA model was adopted to predict the epidemic trend of this disease.
    Results From 2017 to 2023, the annual reported incidences of human brucellosis cases in Inner Mongolia Autonomous Region were 30.63/100 000, 39.92/100 000, 56.84/100 000, 64.77/100 000, 91.03/100 000, 79.57/100 000, and 70.34/100 000, respectively. The incidence rose from 2017 to 2021 and declined from 2022 to 2023 (χ2 = 7 843.95, P < 0.001). The epidemic had obvious seasonality (Z = 5 561.78, P < 0.01). The cases showed a male: female ratio of 2.20:1, with farmers accounting for 78.4%. The proportion of cases with a time interval of 0 to 15 days between onset and diagnosis increased year by year (χ2 = 419.38, P < 0.001). The reported cases in the acute phase and subacute phase accounted for 80.21% and 16.27%, respectively. The proportion of reported cases transitioning from acute and subacute phases to chronic phase decreased year by year (χ2 = 581.18, P < 0.01). The ARIMA(2,1,1)(0,1,1)12 model established with the minimum AIC value of 224.65 was the optimal, demonstrating satisfactory fitting effect in prediction.
    Conclusions The reported incidence of human brucellosis in Inner Mongolia Autonomous Region shows an overall upward trend from 2017 to 2021 and a decreasing trend from 2022 to 2024.

     

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