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作 者:陆璐 曾庆民[1] 李丽泉[1] 陈金生 LU Lu;ZENG Qing-min;LI Li-quan;CHEN Jin-sheng(Center for Disease Control and Prevention of Shunde District of Foshan City,Foshan 528300,Guangdong,China)
机构地区:[1]佛山市顺德区疾病预防控制中心,广东佛山528300
出 处:《中国校医》2022年第6期420-423,共4页Chinese Journal of School Doctor
摘 要:目的 分析2015—2018学年顺德区因病缺勤监测情况,为防控学校传染病提供依据。方法 从“佛山市学生健康监护信息系统”中收集顺德区2015—2018学年因病缺勤数据,采用描述和卡方检验等方法,对比分析不同街道,不同病因及不同学段学生因病缺勤情况。结果 2015—2018 学年顺德区在“佛山市学生健康监护信息系统”共报告因病缺勤个案837 076人次,因病缺勤率为0.28%,缺课病因以普通感冒(69.82%)为主。缺勤人次数下学期多于上学期,各种病因缺勤分布有不同。经济水平不同的镇街之间因病缺勤率差异有统计学意义(χ^(2)=5 724.20,P<0.001),不同月份、学段的因病缺勤率差异有统计学意义(χ^(2)=960 483.68,P<0.001)。结论 各学年的下半学期是因病缺勤的高发时间,学龄前儿童是重点关注人群,不同的镇街应因地制宜,有针对性地采取干预措施,控制疾病发生发展。ObjectiveTo analyze the monitoring situation of absenteeism due to illness in 2015-2018 academic year in Shunde District, so as to provide the evidence for the prevention and control of school infectious diseases.Methods The data of absenteeism due to illness in 2015-2018 academic year in Shunde District were collected from the "Foshan student health monitoring information system". The situations of absenteeism due to illness of students in different streets,different causes, and different phases of studying were analyzed and compared by means of description and Chi square test.ResultsA total of 837 076 absent cases were reported in the system during 2015-2018 academic year. The total absenteeism rate was 0.28%. The most common cause was common cold (69.82%). The absent cases in the first semester were less than those in the second semester. The distribution of absenteeism due to various causes was different. The difference of absenteeism rates due to illness among towns and streets with different economic levels was statistically significant (χ^(2)= 5 724.20,P < 0.001). There was a significant difference in the disease-related absenteeism rates among different months and phases(χ^(2)= 960 483.68, P < 0.001).ConclusionsThe second half of each academic year is the high incidence time of absenteeism due to illness. Preschool children are the focus of attention. Different towns and streets should take the targeted intervention measures according to the local conditions to control the occurrence and development of diseases.
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