Evidence map›Paper›PMID 40914872›Full record

ArticlePublic health reports (Washington, D.C. : 1974)2025

Evaluation of Kindergarten Through Grade 12 All-Cause Absenteeism Data as an Indicator and Predictor of Respiratory Disease, 2018-2022.

Zachary W Oberholtzer, Seonghye Jeon, Lillian Fineman, Susan N Hocevar Adkins, Gloria J Kang, Kristi Imberi-Olivares, Lisa C Barrios, Martin I Meltzer

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zachary W Oberholtzer4ES Corporation, Atlanta, GA, USA.
Seonghye JeonDivision of Infectious Disease Readiness and Innovation, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-4152-2986
Lillian FinemanGoldbelt Professional Services, Chesapeake, VA, USA.
Susan N Hocevar AdkinsDivision of Readiness and Response Science, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Gloria J KangDivision of Infectious Disease Readiness and Innovation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kristi Imberi-OlivaresSchool District A, Central California, Fresno, CA, USA.
Lisa C BarriosDivision of Readiness and Response Science, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Martin I MeltzerOffice of the Director, National Center for Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIncreases in absenteeism among schoolchildren may precede increases in incidence of community-level respiratory diseases. This study assessed the correlations and predictive values between all-cause absenteeism among kindergarten through grade 12 students and community-level increases in influenza and COVID-19.

methodsWe used absenteeism data from 4 school districts (1 each in Arizona, California, Nevada, and Wisconsin) between fall 2018 (starting approximately late August) and spring 2022 (typically ending in May) to calculate correlations between school absenteeism and community-level cases of influenza, percentage of influenza-like illness, and COVID-19. We estimated the positive predictive value (PPV) of a ≥20% increase in school absences to predict a ≥20% increase in community respiratory disease 1 or 2 weeks later.

resultsWe observed a median correlation of 0.4 between absenteeism and influenza cases across school years and districts, with a maximum of 0.8. COVID-19 cases had a median correlation of 0.1 with school absenteeism during the 2021-2022 school year. The median PPV for predicting increases 2 weeks ahead was 0.4 for influenza and was 0.3 for COVID-19.

conclusionsCorrelations and PPVs between all-cause school absenteeism and respiratory disease were variable, often <0.5. School and public health officials may find absenteeism an inconsistent predictor of community-level respiratory diseases, limiting its utility for syndromic surveillance. Standardizing absence definitions and improving reporting timeliness may enhance its effectiveness.

Indexed as

community respiratory diseasesCOVID-19influenzapredictorschool absenteeism

Identifiers

PMID40914872
PMCPMC12414983

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.