2013-2021年我国西部地区布鲁氏菌病流行趋势及时空分布特征分析

Incidence trend and spatiotemporal distribution of brucellosis in western China, 2013−2021

  • 摘要:
    目的 系统分析我国西部地区2013—2021年布鲁氏菌病(布病)流行趋势及空间分布特征,为布病防控策略的科学制定与有效实施提供详实的数据支持和理论指导。
    方法 基于2013—2021年西部地区布病发病情况,采用Joinpoint回归分析法计算年度变化百分比(APC),对布病发病率的长期变化趋势进行识别和检验,运用空间自相关模型评估布病发病率在西部地区的空间分布格局,并结合冷热点分析和标准差椭圆进一步揭示布病发病率的空间聚集特征和局部时空分布模式的演变,通过构建普通最小二乘法(OLS)回归模型对影响布病发病率的潜在因素进行探究。
    结果 观测期内,我国西部地区布病发病趋势经历三个阶段:2013—2014年上升阶段(APC=48.32%,P<0.001),2015—2018年下降阶段(APC=−7.96%,P=0.029),2019—2021年快速上升阶段(APC=28.20%,P<0.001),且年平均发病率为6.11/10万。 空间分布特征显示,全局莫兰指数在0.38~0.53之间上下波动,H-H聚集区主要集中在宁夏和新疆等省份,L-L聚集区则主要分布在西藏、四川、重庆等省份,L-H聚集区则主要位于青海省,未出现H-L聚集区域。空间内热点区域由1个扩增至3个省份,而四川、重庆、贵州等省份长期处于冷点或次冷点区域范围。 标准差椭圆面积由2013年的2006832.90 km2缩至2021年的1668352.98 km2,长轴缩短了313.41 km,而短轴则增加了47.94 km,扁率降低了0.81,方位角减小了14.64°。 OLS回归结果显示,人均绿地面积(B=0.47)、牲畜饲养量(B=0.38)、牲畜流动量(B=0.12)对西部地区布病发病率的影响显著为正,畜肉产量(B=–0.44)对西部地区布病发病率的影响显著为负。
    结论 我国西部地区布病疫情总体呈上升趋势,存在显著的空间聚集特征,且空间分布范围整体缩小,分布形态由纵向集中向横向扩展转变,应密切关注流行趋势变化情况,加强高发地区及热点地区病例监测。

     

    Abstract:
    Objective To analyze the incidence trend and spatial distribution of brucellosis in western China from 2013 to 2021 and provide data support and theoretical guidance for the development and effective implementation of brucellosis prevention and control strategies.
    Methods Based on the incidence data of brucellosis in the western China from 2013 to 2021, Joinpoint regression analysis method was used to calculate the annual percent change (APC), and the long-term trend of brucellosis incidence was identified and tested. The spatial autocorrelation model was used to evaluate the spatial distribution pattern of the incidence of brucellosis in western China. Combined with cold and hot spot analysis and standard deviation ellipse, the spatial clustering characteristics of the incidence of brucellosis and the evolution of local spatiotemporal distribution patterns were further revealed. The potential factors affecting the incidence of brucellosis were explored by constructing an ordinary least squares (OLS) regression model.
    Results During the observation period, the incidence trend of brucellosis in western China first increased from 2013 to 2014 (APC=48.32%, P<0.001), then decreased from 2015 to 2018 (APC=−7.96%, P=0.029), and increased rapidly again from 2019 to 2021 (APC=28.20%, P<0.001), with an average annual incidence of 6.11/100000. The spatial distribution characteristics showed that the global Moran's Index fluctuated between 0.38 and 0.53. The H-H clustering areas were mainly distributed in Ningxia and Xinjiang, the L-L clustering areas were mainly distributed in Tibet, Sichuan, Chongqing and others, the L-H clustering areas were mainly distributed in Qinghai, and there was no H-L clustering area. The provinces with spatial hot spots expanded from one to three, while Sichuan, Chongqing, Guizhou and others had cold spot or sub-cold spot areas for a long time. The standard deviation ellipse area decreased from 2006832.90km2 in 2013 to 1668352.98 km2 in 2021, the long axis shortened by 313.41 km, while the short axis increased by 47.94 km, the oblateness decreased by 0.81, and the azimuth angle decreased by 14.64°. The OLS regression results showed that the per capita green area (B=0.47), livestock breeding (B=0.38), and livestock flow (B=0.12) had a significant positive impact on the incidence of brucellosis, while the impact of meat production (B=−0.44) on the incidence of brucellosis was significantly negative in western China.
    Conclusion The overall incidence of brucellosis was in increase in western China, with significant spatial clustering characteristics, and the overall spatial distribution range is shrinking. The distribution pattern has changed from vertical concentration to horizontal expansion. It is necessary pay close attention to the changes in incidence trend of brucellosis and strengthen case monitoring in high-risk areas and hot spots.

     

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