Evidence map›Paper›PMID 38146860›Full record

ArticleJournal of the Pediatric Infectious Diseases Society2023

Leveraging School Infection Data to Address Community COVID-19 Data Gaps.

Eba Moreda, Hedille Al-Dhalimy, Mary Ha, Ezeji Nwanaji-Enwerem, Anh Nguyen, Keshiyena Pieters, M Alan Brookhart, Jesse Hickerson, Daniel K Benjamin, Kanecia O Zimmerman and 1 more

Abstract read
In one paragraph

Article 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
–field-weighted citation impact
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. 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

11 authors.

Eba MoredaDuke Clinical Research Institute, Durham, North Carolina, USA.
Hedille Al-DhalimyDuke Clinical Research Institute, Durham, North Carolina, USA.
Mary HaDuke Clinical Research Institute, Durham, North Carolina, USA.
Ezeji Nwanaji-EnweremDuke Clinical Research Institute, Durham, North Carolina, USA.
Anh NguyenDuke Clinical Research Institute, Durham, North Carolina, USA.
Keshiyena PietersDuke Clinical Research Institute, Durham, North Carolina, USA.
M Alan BrookhartDepartment of Population Health Sciences, Duke University, Durham, North Carolina, USA.
Jesse HickersonDuke Clinical Research Institute, Durham, North Carolina, USA.
Daniel K BenjaminDuke Clinical Research Institute, Durham, North Carolina, USA.
Kanecia O ZimmermanDuke Clinical Research Institute, Durham, North Carolina, USA.
Angelique E BoutzoukasDuke Clinical Research Institute, Durham, North Carolina, USA.

Funding

COVID-19 Supplement - Center for Innovative TRIals in ChilDrEN and AdulTs (TRIDENT)U24TR001608 · NCATS · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K., BERNARD, GORDON RAPHAEL · 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

backgroundAt-home COVID-19 tests became available in the USA in April 2021 with widespread use by January 2022; however, the lack of infrastructure to report test results to public health agencies created a gap in public health data. Kindergarten through grade 12 (K-12) schools often tracked COVID-19 cases among students and staff; leveraging school data may have helped bridge data gaps.

methodsWe examined infection rates reported by school districts to ABC Science Collaborative with corresponding community rates from March 15, 2021 to June 3, 2022. We computed weekly ratios of community-to-district-reported rates (reporting ratios) across 3 study periods (spring 2021, fall 2021, and spring 2022) and estimated the difference and 95% confidence intervals (CIs) in the average reporting ratio between study periods.

resultsIn spring 2021, before approval or widespread use of at-home testing, the community-reported infection rate was higher than the school-reported infection rate (reporting ratio: 1.40). In fall 2021 and spring 2022, as at-home testing rapidly increased, school-reported rates were higher than community-reported rates (reporting ratios: 0.82 and 0.66). Average reporting ratios decreased between spring 2021 and fall 2021 (-0.58, 95% CI -0.84, -0.32) and spring 2021 and spring 2022 (-0.73, 95% CI -0.96, -0.48); there was no significant change between fall 2021 and spring 2022 (-0.15, 95% CI -0.36, 0.06).

conclusionsAt-home COVID-19 testing resulted in significant data gaps; K-12 data could have supplemented community data. In future public health emergencies, reporting of school data could minimize data gaps, but requires additional resources including funding to track infections and standardized data reporting methods.

Indexed as

COVID-19COVID-19 TestingDietary SupplementsEducational StatusHumansSchoolsCOVID-19 in schools and the communityCOVID-19 transmissionK-12 school districtspediatrics

Identifiers

PMID38146860
PMCPMC10750306

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Registered trials

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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.