2012-2021年贵州省毒蕈中毒暴发事件的时空聚集分析  

Spatio-temporal clustering analysis of mushroom poisoning outbreaks in Guizhou,2012-2021

作　　者：熊涑钫 张莉[1] 吴安忠 朱姝[2] 田继贵 廖龙 陈庆园 李军[1] 郭华[2,1] XIONG Su-fang;ZHANG Li;WU An-zhong;ZHU Shu;TIAN Ji-gui;LIAO Long;CHEN Qing-yuan;LI Jun;GUO Hua(School of Pubic Heath the Key Laboratory of Environmenta Poution Monitoring and Disease Contro Ministry of Education,Guizhou Medical University,Guiyang,Guizhou 550025,China;不详)

机构地区：[1]贵州医科大学公共卫生与健康学院,环境污染与疾病监控教育部重点实验室,贵州贵阳550025 [2]贵州省疾病预防控制中心

出　　处：《现代预防医学》2023年第18期3310-3315,共6页Modern Preventive Medicine

基　　金：国家重点研发计划项目(2017YFC1601805);黔科合支撑项目([2017]2972)。

摘　　要：目的探讨贵州省2012-2021年毒蕈中毒暴发事件的时空分布特征,为贵州省组织实施地区毒蕈中毒防控策略提供参考依据.方法对贵州省"食源性疾病暴发监测系统"中2012-2021年毒蕈中毒暴发事件数据进行描述性分析和时空聚集分析.结果2012-2021年贵州省共报告毒蕈中毒暴发事件1509起,发病5221人,年均报告发病率为0.14/10万.毒蕈中毒暴发事件存在空间聚集性(MoranI=0.286,P<0.05),有19个空间聚集区,其中"高-高"聚集县(区)6个、"高-低"聚集县(区)1个、"低-低"聚集县(区)12个.进一步分析显示毒蕈中毒暴发事件的时空聚集区有3个,其中1类时空聚集区包含24个县(区)、2类时空聚集区包含1个县(区)、3类时空聚集区包含6个县(区),差异均有统计学意义(P<0.05).结论2012-2021年贵州省毒蕈中毒暴发事件存在时空聚集性,应对各时空聚集区开展精准防控.Objective To explore the spatio-temporal distribution characteristics of mushroom poisoning outbreaks in Guizhou Province from 2012 to 2021,and to provide a reference basis for organizing and implementing regional prevention and control strategies for mushroom poisoning in Guizhou Province.MethodsDescriptive analysis and spatio-temporal clustering analysis were conducted on the data of mushroom poisoning outbreaks in Guizhou Province from 2012 to 2021 in the Foodborne Disease Outbreak Surveillance System.Results A total of 1509 mushroom poisoning outbreaks were reported in Guizhou Province from 2012 to 2021,with 5221 cases and an average annual reported incidence rate of 0.14/100000.Mushroom poisoning outbreaks in Guizhou Province was clustering(Moran I=0.286,P<0.05).There were 19 spatial clusters,including 6"high-high"clusters,1"high-low"cluster,and 12"low-low"clusters.Further analysis revealed three spatio-temporal clusters in mushroom poisoning outbreaks.Among them,there were 24 counties(districts)in type 1 spatio-temporal clustering,1 county(district)in type 2 spatio-temporal clustering,and 6 counties(districts)in type 3 spatio-temporal clustering,and the differences were statistically significant(P<0.05).Conclusion There is spatio-temporal clustering in mushroom poisoning outbreaks in Guizhou Province from 2012 to 2021,and precise prevention and control should be carried out in each spatio-temporal clustering area.

关 键 词：毒蕈中毒 食源性疾病 空间自相关 时空扫描 

分 类 号：R595.7[医药卫生—内科学]