Evidence map›Paper›PMID 35873793›Full record

ArticlePNAS nexus2022

Vaccinating children against COVID-19 is crucial to protect schools and communities.

Erik T Rosenstrom, Jessica Mele, Julie S Ivy, Maria E Mayorga, Mehul D Patel, Kristen Hassmiller Lich, Paul L Delamater, Raymond L Smith, Julie L Swann

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Erik T RosenstromDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.ORCID https://orcid.org/0000-0002-7755-0559
Jessica MeleDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.
Julie S IvyDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.
Maria E MayorgaDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.
Mehul D PatelDepartment of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Kristen Hassmiller LichDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Paul L DelamaterDepartment of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID https://orcid.org/0000-0003-3627-9739
Raymond L SmithDepartment of Engineering, East Carolina University, Greenville, NC 27834, USA.
Julie L SwannDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.
North Carolina State University · USUniversity of North Carolina at Chapel Hill · USEast Carolina University · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
6 · The paper itself

Abstract

To evaluate the joint impact of childhood vaccination rates and school masking policies on community transmission and severe outcomes due to COVID-19, we utilized a stochastic, agent-based simulation of North Carolina to test 24 health policy scenarios. In these scenarios, we varied the childhood (ages 5 to 19) vaccination rate relative to the adult's (ages 20 to 64) vaccination rate and the masking relaxation policies in schools. We measured the overall incidence of disease, COVID-19-related hospitalization, and mortality from 2021 July 1 to 2023 July 1. Our simulation estimates that removing all masks in schools in January 2022 could lead to a 31% to 45%, 23% to 35%, and 13% to 19% increase in cumulative infections for ages 5 to 9, 10 to 19, and the total population, respectively, depending on the childhood vaccination rate. Additionally, achieving a childhood vaccine uptake rate of 50% of adults could lead to a 31% to 39% reduction in peak hospitalizations overall masking scenarios compared with not vaccinating this group. Finally, our simulation estimates that increasing vaccination uptake for the entire eligible population can reduce peak hospitalizations in 2022 by an average of 83% and 87% across all masking scenarios compared to the scenarios where no children are vaccinated. Our simulation suggests that high vaccination uptake among both children and adults is necessary to mitigate the increase in infections from mask removal in schools and workplaces.

Indexed as

Agent-Based SEIR Simulation ModelChildhood VaccinationCOVID-19Public Health PolicySchool and Community Health

Identifiers

PMID35873793
PMCPMC9295200
OpenAlexW4286283103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.