Evidence map›Paper›PMID 38146857›Full record

Observational studyJournal of the Pediatric Infectious Diseases Society2023

School Absenteeism as a Marker for Community COVID-19 Rates.

Ashley Stark, Daniel K Benjamin, Anthony Kajencki, Katelyn Mann, Natalie Rodriguez, Ian Troan, Larry Hill, Angelique E Boutzoukas, Kanecia O Zimmerman

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of the Pediatric Infectious Diseases Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Ashley StarkDepartment of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA.
Daniel K BenjaminDepartment of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA.
Anthony KajenckiDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Katelyn MannDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Natalie RodriguezDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Ian TroanDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Larry HillDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Angelique E BoutzoukasDepartment of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA.
Kanecia O ZimmermanDepartment of Pediatrics, Duke University Medical Center, Durham, North Carolina, USA.
Duke University · US

Funding

COVID-19 Supplement - Center for Innovative TRIals in ChilDrEN and AdulTs (TRIDENT)U24TR001608 · NCATS · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K., HERNANDEZ, ADRIAN · 2016 to 2022
$177.0M
SARS-CoV-2 Screening and Diagnostic testing for return to K-12 schoolsOT2HD107559 · NICHD · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K., ZIMMERMAN, KANECIA OBIE · 2021 to 2022
$5.0M
NIH Summer Research Experience Programs (R25)R25HD076475 · NICHD · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K. · 2013 to 2023
$1.1M
NCATS NIH HHS U24 TR001608NICHD NIH HHS HHSN275201000003CNICHD NIH HHS HHSN275201000003INICHD NIH HHS OT2 HD107559NICHD NIH HHS R25 HD076475
6 · The paper itself

Abstract

backgroundReported 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.

methodsWe 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.

resultsWe 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).

conclusionsStudent absenteeism and infection rates may be a useful marker of COVID-19 community infection rates when testing frequency and results reporting are inconsistent.

Indexed as

AbsenteeismCOVID-19Educational StatusHumansSchoolsStudentsUnited Statescommunity infection ratesCOVID-19student absenteeism

Identifiers

PMID38146857
PMCPMC12301715
OpenAlexW4390229609

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.