School Absenteeism as a Marker for Community COVID-19 Rates

Background: Reported community transmission rates of coronavirus disease 2019 (COVID-19) may not be accurate, particularly since at-home testing has become widely available. School absenteeism may serve as a marker of broader community COVID-19 transmission. Methods: We performed an observational study of North Carolina kindergarten through 12th grade schools participating in the ABC Science Collaborative that offered in-school instruction, and contributed severe acute respiratory syndrome coronavirus 2 data for at least 2 of 4 weeks monthly for the 2021-2022 academic year. Additionally, we analyzed publicly available databases including the North Carolina Department of Public Instruction, Centers for Disease Control and Prevention COVID-19 Data Repository, and National Center for Education Statistics. We described community and school COVID-19 infection rates compared with student monthly absenteeism rates to determine if the relationship between community COVID-19 infection rates and student absenteeism varied over time. Results: We included 500 192 students from 27 school districts. For the 2021-2022 academic year, the student and community COVID-19 infection rates did not show a significant difference (P > .05) across each month of comparison. Student absenteeism rates and community COVID-19 infection rates by month showed a similar trend across the academic year. For every 1% increase in community infection percentage, we found a 1.68% (1.12-2.25%) increase in absenteeism (P < .001); for every 1 month change in time, we found a 0.12% (0.01-0.24%) increase in absenteeism (P < .05). Conclusions: Student absenteeism and infection rates may be a useful marker of COVID-19 community infection rates when testing frequency and results reporting are inconsistent.

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Publication Details

Journal
UNC Libraries
Published
2025-08-13
DOI
https://doi.org/10.17615/qy1g-8076
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00

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article

School Absenteeism as a Marker for Community COVID-19 Rates

Nicolette J. Rodriguez, Katelyn Mann, Ashley Stark, Lee Hill et al.
UNC Libraries
COVID-19 and Mental Health
article

School Absenteeism as a Marker for Community COVID-19 Rates

Nicolette J. Rodriguez, Katelyn Mann, Ashley Stark, Lee Hill, Anthony Kajencki, Ian Troan, Zimmerman K.O., Boutzoukas A.E., Benjamin D.K.
article en

Abstract

Background: Reported community transmission rates of coronavirus disease 2019 (COVID-19) may not be accurate, particularly since at-home testing has become widely available. School absenteeism may serve as a marker of broader community COVID-19 transmission. Methods: We performed an observational study of North Carolina kindergarten through 12th grade schools participating in the ABC Science Collaborative that offered in-school instruction, and contributed severe acute respiratory syndrome coronavirus 2 data for at least 2 of 4 weeks monthly for the 2021-2022 academic year. Additionally, we analyzed publicly available databases including the North Carolina Department of Public Instruction, Centers for Disease Control and Prevention COVID-19 Data Repository, and National Center for Education Statistics. We described community and school COVID-19 infection rates compared with student monthly absenteeism rates to determine if the relationship between community COVID-19 infection rates and student absenteeism varied over time. Results: We included 500 192 students from 27 school districts. For the 2021-2022 academic year, the student and community COVID-19 infection rates did not show a significant difference (P > .05) across each month of comparison. Student absenteeism rates and community COVID-19 infection rates by month showed a similar trend across the academic year. For every 1% increase in community infection percentage, we found a 1.68% (1.12-2.25%) increase in absenteeism (P < .001); for every 1 month change in time, we found a 0.12% (0.01-0.24%) increase in absenteeism (P < .05). Conclusions: Student absenteeism and infection rates may be a useful marker of COVID-19 community infection rates when testing frequency and results reporting are inconsistent.

UNC Libraries
Biogen, Melinta Therapeutics, Sun Pharma, National Institutes of Health, Allergan, National Institute of Child Health and Human Development, National Center for Advancing Translational Sciences, Duke Clinical Research Institute
Openalex Percentile: Top 54%
COVID-19 and Mental Health
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