Changing trend of sickness absenteeism among students during 2010-2017 academic years and its correlation with the incidence of acute infectious diseases in Jiading District，Shanghai
10.16835/j.cnki.1000-9817.2023.06.027
- VernacularTitle:上海嘉定区2010—2017学年中小学生因病缺课状况及其与急性传染病发病的相关性
- Author:
WANG Zhengzhong, YU Hongjie, JIANG Honglin, XIONG Ying, TONG Yixin, YIN Jiangfan, PENG Hui, ZHONG Peisong,JI Ying, ZHOU Yibiao
1
Author Information
1. Epidemiology Teaching and Research Office, School of Public Health, Fudan University/Key Laboratory of the Ministry of Public Health and Safety Education/Tropical Diseases Research Center, Shanghai (200030) , China
- Publication Type:Journal Article
- Keywords:
Disease;
Absenteeism;
Communicable diseases;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2023;44(6):914-918
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To describe the sickness absenteeism among primary and secondary school students in Jiading District and to analyze its correlation with the incidence of infectious diseases and associated lead or lag times, so as,to provide a scientific basis for the health and education departments to take measures.
Methods:The regularity and symptom composition of school sickness absenteeism among primary and secondary school students in Jiading District from the 2010-2017 were described. The Joinpoint model was applied to analyze the changing trend of absenteeism. And the rate of school sickness absenteeism and incidences of 7 acute infectious diseases were compared through visual analysis. The time lagged correlation coefficients and Granger causality tests were applied to quantitatively analyze the correlation and lead/lag patterns.
Results:The average rate of school sickness absenteeism among primary and secondary school students in Jiading District, Shanghai was 0.27%. Since the 2012 academic year, the overall rate of sickness absenteeism has been on the rise. Fever was the most common symptom of absenteeism (47.49%). The trend of sickness absenteeism rate was mainly consistent with the incidence of influenza, and showed a one way Granger causality. The maximum time lagged correlation coefficient was obtained in the second semester of the 2017 academic year with a value of 0.43 (95% CI =0.25-0.58). The maximum time lagged correlation coefficient between the rate of sickness absenteeism with fever and other respiratory symptoms and the incidence of influenza was also obtained in the second semester of the 2017 academic year and the maximum correlation coefficient was 0.50(95% CI =0.33-0.65).
Conclusion:The sickness absenteeism rate in primary and secondary school students is correlated to influenza incidence, and it has potential application value in supplementing early warning of influenza activities in the community.
