陕西省2016—2024年其他感染性腹泻流行特征及病原检测结果分析

Epidemiological characteristics and pathogen detection results of other infectious diarrhea in Shaanxi province from 2016 to 2024

  • 摘要:
    目的 分析陕西省2016-2024年其他感染性腹泻流行趋势及病原学特征,为制定针对性防控措施提供策略和依据。
    方法 收集2016-2024年其他感染性腹泻病例相关信息,运用Excel 2007、Joinpoint 4.9.1.0、Geoda 1.6软件进行数据整理、空间自相关与回归分析,Super Map 8c进行可视化展示。
    结果 2016-2024年累计报告其他感染性腹泻病例232995例,死亡4例,平均报告发病率为66.65/10万,Joinpoint回归分析显示,2016-2024年陕西省其他感染性腹泻发病率整体无显著变化趋势(AAPC=−0.4%,95%CI:−14.2%~15.5%,P=0.954)。报告病例数较多的地市依次是西安、安康和宝鸡,发病率较高的县(区)分别是2020年铜川耀州区(477.17/10万)、2017年西安未央区(474.13/10万)和2021年铜川耀州区(409.79/10万);发病呈季节性单峰分布,季节指数分析显示发病高峰集中在12月至次年3月。男性多于女性,性别比为1.29∶1(男性131361例,女性101634例);发病主要集中在0~<5岁年龄组(177441例,76.16%),其中1~<2岁在该年龄组最多(73358例,41.34%);职业以散居儿童(172767例,74.15%)为主。全局空间自相关结果显示,2016-2024年陕西省其他感染性腹泻发病率呈显著的空间自相关性(P<0.05),表明病例分布呈空间聚集模式;局部空间自相关(LISA)分析共探测到84个“高−高”聚集单元,主要集中在关中平原的宝鸡、西安和陕南地区的安康。病原体检测率呈动态上升趋势(年均增长率18.41%),年均检测率为17.46%;病原谱以轮状病毒、诺如病毒和腺病毒等引起的病毒性感染腹泻为主。
    结论 2016-2024年陕西省其他感染性腹泻呈“冬春季高发、关中−陕南聚集、散居婴幼儿为主”的流行特征,病原谱以轮状病毒、诺如病毒为主的病毒性腹泻占绝对优势;建议针对宝鸡−西安−安康聚集区、0~<5岁散居儿童等重点区域和人群,采取疫苗接种、卫生宣教和环境消杀等的综合防控策略,以降低发病率。

     

    Abstract:
    Objective To analyze the epidemiological trends and etiological characteristics of other infectious diarrhea in Shaanxi Province from 2016 to 2024, and to provide strategies and evidence for formulating targeted prevention and control measures.
    Methods Data on other infectious diarrheal disease cases reported from 2016 to 2024 were collected. Excel 2007, Joinpoint 4.9.1.0, and Geoda 1.6 were used for data processing, spatial autocorrelation analysis, and regression analysis. Super Map 8c was employed for visualization.
    Results A total of 232,995 cases of other infectious diarrhea were reported from 2016 to 2024, including 4 fatal cases, the average annual reported incidence was 66.65 per 100,000 population. Joinpoint regression analysis showed no significant trend in the incidence of other infectious diarrhea in Shaanxi Province from 2016 to 2024 (AAPC=−0.4%, 95% CI: −14.2%, 15.5%, P = 0.954). The cities with the highest number of reported cases were Xi'an, Ankang, and Baoji. The counties (districts) with the highest incidence rates were Yaozhou District of Tongchuan City in 2020 (477.17/100,000), Weiyang District of Xi'an City in 2017 (474.13/100,000), and Yaozhou District of Tongchuan City in 2021 (409.79/100,000). Incidence exhibited a seasonal unimodal pattern, with the peak concentrated from December to March based on seasonal index analysis. Cases were more common in males than females, with a sex ratio of 1.29:1 (131,361 males vs. 101,634 females). The majority of cases occurred in the 0−<5 years age group (177,441 cases, 76.16%), with the 1−<2 years subgroup accounting for the highest proportion within this age group (73,358 cases, 41.34%). Scattered children were the predominant occupational group (172,767 cases, 74.15%). Global spatial autocorrelation analysis revealed significant spatial clustering of incidence rates from 2016 to 2024 (P < 0.05). local indicators of spatial association (LISA) analysis identified 84 "High-High" clustering units, mainly concentrated in Baoji and Xi'an in the Guanzhong Plain, and Ankang in Southern Shaanxi. The pathogen detection rate showed a dynamic upward trend (average annual growth rate of 18.41%), with an average annual detection rate of 17.46%. The pathogen spectrum was dominated by viral infectious diarrhea caused by rotavirus, norovirus, and adenovirus.
    Conclusion From 2016 to 2024, other infectious diarrhea in Shaanxi Province was characterized by a high incidence in winter and spring, spatial aggregation in the central-southern regions, and a predominance of cases among scattered young children. Viral diarrhea, primarily caused by rotavirus and norovirus, constituted the vast majority of cases based on the pathogen spectrum. It is recommended to implement an integrated prevention and control strategy focusing on key areas such as the Baoji-Xi'an-Ankang cluster and key populations like scattered children aged 0−<5 years. This strategy should include vaccination, health education, and environmental disinfection to reduce the incidence rate.

     

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