Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 22, 2022
Date Accepted: Nov 25, 2022

The final, peer-reviewed published version of this preprint can be found here:

Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis

Tsang TK, Huang X, Guo Y, Lau EHY, Cowling BJ, Ip DKM

Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis

JMIR Public Health Surveill 2023;9:e41329

DOI: 10.2196/41329

PMID: 36630159

PMCID: 9878370

Monitoring school absenteeism for influenza-like illness surveillance: A systematic review and meta-analysis

  • Tim K. Tsang; 
  • Xiaotong Huang; 
  • Yiyang Guo; 
  • Eric H. Y. Lau; 
  • Benjamin J. Cowling; 
  • Dennis K. M. Ip

ABSTRACT

Background:

Monitoring school absenteeism has long been proposed as a surveillance tool of influenza activity in community, but the practice of school absenteeism could be varying, and the potential of such usage remains unclear.

Objective:

To determine the potential of monitoring school absenteeism as a surveillance tolls of influenza.

Methods:

We conducted a systematic review of the published literature on relationship between school absenteeism and influenza activity in community. We categorized the types of school absenteeism, and influenza activity in community, to determine the impact on the correlation between these two data streams.

Results:

We identified 35 studies including 9826 person-years. Of these, 22, 12 and 8 studies monitored all-cause, illness-specific and influenza-like illness (ILI) specific absents respectively, and 16 used quantitative approaches and provided 33 estimates on temporal correlation between school absenteeism and influenza activity in community. The pooled estimate of this correlation was 0.44 (95% CI: 0.34, 0.53). The correlation between influenza activity in community and ILI-specific absenteeism were higher than all-cause absenteeism. Among 19 studies used qualitative approaches, 15 studies concluded that school absenteeism was concordant, coincided or associated with community surveillance. Only six studies attempted to predict influenza activity in community from school absenteeism surveillance.

Conclusions:

There was a moderate correlation between school absenteeism and influenza activity in community. Using ILI-specific absenteeism was preferred since it could monitor influenza activity more closely, but the required resource or willingness of school participation may require careful consideration. Further explorations are required to utilize and optimize the use of school absenteeism to predict influenza activity.


 Citation

Please cite as:

Tsang TK, Huang X, Guo Y, Lau EHY, Cowling BJ, Ip DKM

Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis

JMIR Public Health Surveill 2023;9:e41329

DOI: 10.2196/41329

PMID: 36630159

PMCID: 9878370

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.