成玉萍, 温晓飒, 刘小华. 新型冠状病毒肺炎应急响应期间中小学因病缺课监测分析[J]. 上海预防医学, 2021, 33(11): 1056-1058. DOI: 10.19428/j.cnki.sjpm.2021.20700
引用本文: 成玉萍, 温晓飒, 刘小华. 新型冠状病毒肺炎应急响应期间中小学因病缺课监测分析[J]. 上海预防医学, 2021, 33(11): 1056-1058. DOI: 10.19428/j.cnki.sjpm.2021.20700
CHENG Yu-ping, WEN Xiao-sa, LIU Xiao-hua. Analysis of data of illness-induced absenteeism among primary and middle school students in the context of emergency response to COVID-19[J]. Shanghai Journal of Preventive Medicine, 2021, 33(11): 1056-1058. DOI: 10.19428/j.cnki.sjpm.2021.20700
Citation: CHENG Yu-ping, WEN Xiao-sa, LIU Xiao-hua. Analysis of data of illness-induced absenteeism among primary and middle school students in the context of emergency response to COVID-19[J]. Shanghai Journal of Preventive Medicine, 2021, 33(11): 1056-1058. DOI: 10.19428/j.cnki.sjpm.2021.20700

新型冠状病毒肺炎应急响应期间中小学因病缺课监测分析

Analysis of data of illness-induced absenteeism among primary and middle school students in the context of emergency response to COVID-19

  • 摘要:
    目的了解新型冠状病毒肺炎疫情应急响应期间闵行区中小学学生因病缺课情况,为校园疫情防控提供依据。
    方法采用描述流行病学方法对应急响应期间上海市闵行区中小学因病缺课监测数据进行分析。
    结果新冠肺炎应急响应期间闵行区中小学因病缺课率为1.50%,不同月份之间缺课率差异有统计学意义(χ2=1 724.31,P<0.01),且每月缺课率均高于2016—2019年同期,差异有统计学意义(P<0.01)。症状缺课率为1.28%,发热是首位缺课症状,不同年度间发热缺课率差异有统计学意义(χ2=15 281.33,P<0.01)。急性上呼吸道感染是应急响应期间疾病首位缺课原因,而传染病是前期疾病中的首位原因,不同年度间传染病缺课差异有统计学意义(χ2=1 822.62,P<0.01)。
    结论COVID-19应急响应期间闵行区中小学因病缺课率大幅升高,传染病缺课率明显降低,说明疫情期间校园防控措施对校园常态下的传染病防控有一定借鉴意义。

     

    Abstract:
    ObjectiveTo understand the school absence due to illnesses in the context of emergency response to COVID-19 in Minhang District, so as to provide a basis for epidemic prevention and control in primary and secondary schools.
    MethodsDescriptive epidemiological analysis was conducted on the data of school absence due to illnesses in primary and secondary schools in Minhang District in the context of emergency response to COVID-19.
    ResultsDuring the period of emergency response to COVID-19, the incidence of illness-induced absenteeism in Minhang District was 1.50%. Difference in absenteeism between different months was statistically significant (χ2=1 724.31, P<0.01). The monthly absenteeism rate in 2020 was higher than that from 2016 to 2019, and the difference was statistically significant (P<0.01). The rate of symptom-induced absenteeism was 1.28%. Fever was the most common symptom of school absence, and the rate of absence due to fever in 2020 was higher than that of the same period in 2019 and 2016-2018, and the difference was statistically significant (χ2=15 281.33, P<0.01). Acute upper respiratory tract infection was the number one cause of illness-induced absence during the emergency response period, while infectious diseases were the primary causes of diseases from 2016 to 2018 and in 2019. The difference of infectious disease absence in different years was statistically significant (χ2=1 822.62, P<0.01).
    ConclusionThe rate of school absence due to illnesses increased significantly in the context of emergency response to COVID-19 in Minhang District, while the rate of school absence due to infectious diseases decreased significantly. The prevention and control measures during the epidemic period can be used for reference in the future for preventing infectious diseases under normal conditions.

     

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