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Epidemiol Infect ; 149: e248, 2021 11 09.
Article in English | MEDLINE | ID: mdl-34749838

ABSTRACT

This study describes the development of a pilot sentinel school absence syndromic surveillance system. Using data from a sample of schools in England the capability of this system to monitor the impact of disease on school absences in school-aged children is shown, using the coronavirus disease 2019 (COVID-19) pandemic period as an example. Data were obtained from an online app service used by schools and parents to report their children absent, including reasons/symptoms relating to absence. For 2019 and 2020, data were aggregated into daily counts of 'total' and 'cough' absence reports. There was a large increase in the number of absence reports in March 2020 compared to March 2019, corresponding to the first wave of the COVID-19 pandemic in England. Absence numbers then fell rapidly and remained low from late March 2020 until August 2020, while lockdown was in place in England. Compared to 2019, there was a large increase in the number of absence reports in September 2020 when schools re-opened in England, although the peak number of absences was smaller than in March 2020. This information can help provide context around the absence levels in schools associated with COVID-19. Also, the system has the potential for further development to monitor the impact of other conditions on school absence, e.g. gastrointestinal infections.


Subject(s)
Absenteeism , COVID-19/epidemiology , Disease Outbreaks/prevention & control , Epidemiological Monitoring , Sentinel Surveillance , Child , Communicable Disease Control , England/epidemiology , Humans , Male , Pandemics , SARS-CoV-2 , Schools , Students/statistics & numerical data
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