Chen Huijie, Wen Lihai, Chen Ye, Ji Xingyu, Li Peng, Sun Wei
Department of Infectious Disease, Shenyang Municipal Center for Disease Control and Prevention, Shenyang, Liaoning, PR China.
Key Laboratory of Early Warning and Intervention Technologies and Countermeasures for Major Public Health Events in Liaoning Province, China Medical University, Shenyang, Liaoning, PR China.
Heliyon. 2024 Apr 3;10(7):e29026. doi: 10.1016/j.heliyon.2024.e29026. eCollection 2024 Apr 15.
Epidemiological characteristics of human brucellosis (HB) have changed over the last decade. In this study, we depicted the spatiotemporal features of HB in Shenyang, China, from 2013 to 2022 and the objective was to visualise spatiotemporal patterns and identify high-risk regions with the purpose to provide evidence for HB prevention and control.
We performed an observational epidemiological study using HB data obtained from the National Notifiable Disease Reporting System (NNDRS). Joinpoint regression analysis was employed to determine the changing trends in the annual incidence. A vector boundary map of Shenyang was used to visualise spatial distribution. Spatial autocorrelation was identified using both global and local Moran's autocorrelation coefficients, while hotspot areas were determined using the Getis-Ord statistic.
A combined sum of 4103 HB cases were analysed, and the average level of annual incidence of HB was 5.52 per 100,000. The incidence of HB showed obvious seasonality, with a notable peak observed from April to July (summer peak). The annual incidence in Shenyang has been on the rise since 2013, with an annual percentage change (APC) of 6.39% (95%CI 1.29%, 12.39%). Xinmin County exhibited the most elevated average annual incidence rate, with Faku County ranking second. The average annual incidence in rural areas exhibited a significantly greater disparity compared to suburban areas ( < 0.001), whereas the incidence rate in suburban areas demonstrated a significantly higher contrast when compared to urban areas ( < 0.001). A clustered distribution of the annual incidence of HB was observed for all years from 2013 to 2022. Abnormally high values were found in suburban areas, and no abnormally high values were found after 2017. The low-low clustering areas were found in urban as well as suburban areas from 2013 to 2022. Hotspots ( < 0.05) were located in rural areas, while cold spots ( < 0.05) were found in both urban and suburban areas. Since 2020, there have been no hotspots in Shenyang.
Rural areas are high-risk areas for HB and may be key to controlling HB epidemics. Although the annual incidence of HB in rural areas has increased, owing to the stability of spatial relationships and the disappearance of hotspots, there is little possibility of outbreaks; however, stricter monitoring should be applied in rural areas to prevent the emergence of new transmission routes.
在过去十年中,人类布鲁氏菌病(HB)的流行病学特征发生了变化。在本研究中,我们描绘了2013年至2022年中国沈阳HB的时空特征,目的是可视化时空模式并确定高风险区域,以便为HB的预防和控制提供依据。
我们使用从国家法定传染病报告系统(NNDRS)获得的HB数据进行了一项观察性流行病学研究。采用Joinpoint回归分析来确定年发病率的变化趋势。使用沈阳的矢量边界图来可视化空间分布。使用全局和局部莫兰自相关系数确定空间自相关,同时使用Getis-Ord统计量确定热点区域。
共分析了4103例HB病例,HB的年平均发病率为每10万人5.52例。HB的发病率呈现出明显的季节性,4月至7月出现明显高峰(夏季高峰)。自2013年以来,沈阳的年发病率一直在上升,年变化百分比(APC)为6.39%(95%CI 1.29%,12.39%)。新民县的年平均发病率最高,法库县次之。农村地区的年平均发病率与郊区相比差异显著更大(<0.001),而郊区的发病率与城区相比差异显著更高(<0.001)。观察到2013年至2022年所有年份HB年发病率呈聚集分布。在郊区发现异常高值,2017年后未发现异常高值。2013年至2022年在城区和郊区均发现低-低聚集区。热点(<0.05)位于农村地区,而冷点(<0.05)在城区和郊区均有发现。自2020年以来,沈阳未出现热点。
农村地区是HB的高风险区域,可能是控制HB疫情的关键。尽管农村地区HB的年发病率有所上升,但由于空间关系的稳定性和热点的消失,爆发的可能性很小;然而,农村地区应加强监测,以防止出现新的传播途径。