2015—2017年深圳市食源性疾病时空聚集性分析

Spatial-temporal clustering study on foodborne diseases in Shenzhen(2015-2017)

目的分析2015—2017年深圳市食源性疾病的时空分布特征,为其预防和控制提供理论依据。方法采用时空聚集性分析方法对深圳市2015—2017年食源性疾病的监测数据进行分析。结果深圳市报告的食源性疾病年发病率波动在15.42/10万~48.14/10万之间,以25~44岁年龄段为主,占48.14%。每年的7~9月份发病较其它数据段高发。时空扫描分析结果显示在2016年6月至2017年9月,以西丽街道为中心,半径为10.99km的区域食源性疾病时空聚集性最强(RR=3.17,LLR=1 473.24,P<0.001),聚集街道包括南山、宝安、福田、龙华的16个街道。结论利用食源性疾病资料进行时空聚集性分析能够较好的探测出疾病异常聚集特点,可为开展针对性的防控措施提供科学依据。

Objective To analyze the spatial-temporal distribution of foodborne diseases in Shenzhen City from 2015 to 2017,and provide theoretical supports for the prevention and control of foodborne diseases. Methods Spatial-temporal clustering analysis was applied to analyze the monitoring data of foodborne diseases in Shen Zhen from 2015 and 2017. Results The incidence of foodborne diseases in Shenzhen fluctuated between 15. 42/lakh and 48. 14/lakh,and most（ 48. 14%） occurred in people aged from 25 to 44.The incidence rose to the peak from July to September annually. Results of the spatial-temporal scanning showed that the strongest spatial-temporal clustering occurred in a 10. 99 km radius area centered in Xili subdistrict from June 2016 to September 2017（ RR =3. 17,LLR = 1473. 24,P〈0. 001）. 16 subdistricts in Nanshan,Baoan,Futian and Longhua were included in this area. Conclusion Spatial-temporal scanning of foodborne diseases monitoring data can be used to find abnormal spatial-temporal clustering of foodborne diseases,which can provide scientific evidence for drawing prevention and control measures.