【摘要】 目的 分析2016—2020年上海市松江区猩红热流行特征和空间自相关性，为制定猩红热防控政策提供参考依据。方法 通过中国疾病预防控制信息系统传染病报告模块获取2016—2020年上海市松江区猩红热疫情数据，并对数据进行分析。结果 2016—2020年上海市松江区猩红热累计报告病例2 082例，年均报告发病率为21.67/10万；发病有明显季节性，呈双峰表现，4—6月的春季高峰（785例，37.70%）和11—次年1月（847例，40.68%）的冬季高峰；男性报告病例1 239例（59.1%），女性843例（40.49%），男女性别比1.47∶1；发病年龄中位数6岁，最大39岁，最小10个月，集中在3～<10岁儿童（占91.45%）；职业分布以学生、幼托儿童和散居儿童为主（99.81%）。2016—2020年松江区猩红热病例数全局Moran’s I指数依次为0.538、0.546、0.540、0.416和0.597（均P<0.05），提示松江区猩红热发病存在空间聚集性；“高-高”聚集区主要集中在九亭镇，与累计报告病例分布一致；“低-低”聚集区主要集中在新浜镇、泖港镇和石湖荡镇。结论 2016—2020年上海市松江区猩红热发病在人群、季节和空间分布上有显著聚集性，今后应在猩红热高发季节加强对托幼机构和学校等集体单位的传染病监测工作，落实健康宣教工作，有效控制猩红热的发生和扩散，减少暴发疫情的发生。更多还原

【Abstract】 Objective To understand the epidemiological characteristics and spatial autocorrelation of scarlet fever in Songjiang District of Shanghai from 2016 to 2020,provide the reference for formulating scarlet fever prevention and control policies.Methods The epidemic data of scarlet fever cases in Songjiang District of Shanghai from 2016 to 2020 were obtained from the infectious disease reporting module of the National notifiable diseases report system,and the data were analyzed. Results From2016 to 2020,a total of 2 082 cases of scarlet fever were reported in Songjiang District of Shanghai,and the average annual reported incidence rate was 21.67/100 000. The incidence of scarlet fever appeared double peaks :the peak in spring from April to June(785 cases,37.70%) and the peak in winter from November to January of the following year(847 cases,40.68%). There were1 239 male cases(59.1%) and 843 female cases(40.49%). The ratio of male to female was 1.47 ∶ 1. The median age was 6 years old,with the oldest of 39 years old and the youngest of 10 months old,concentrating in children aged 3-<10 years old. Most of cases were students,kindergarten children and scattered children(99.81%). The Global Moran’s I index of the scarlet fever cases in Songjiang District from 2016 to 2020 was 0.538,0.546,0.540,0.416 and 0.597,respectively(all P<0.05),suggesting that there is spatial clustering features of scarlet fever in Songjiang District. The "high-high" cluster areas were mainly in Jiuting Town,which was consistent with the distribution of reported cases. The "low-low" cluster areas were mainly in in Xinbang Town,Maogang Town and Shihudang Town. Conclusion The incidence of scarlet fever in Songjiang District of Shanghai from 2016-2020has a significant clustering in population,season and spatial distribution,in the future,the surveillance of infectious diseases in kindergartens,schools and other collective units should be strengthened in the high-incidence season of scarlet fever,and implement health education,so as to effectively control the occurrence and spread of scarlet fever,reduce the outbreaks.更多还原