Evidence map›Paper›PMID 34282839›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Prevention of Coronavirus Disease 2019 (COVID-19) by mRNA-Based Vaccines Within the General Population of California.

Kristin L Andrejko, Jake Pry, Jennifer F Myers, Nicholas P Jewell, John Openshaw, James Watt, Seema Jain, Joseph A Lewnard, California COVID-19 Case-Control Study Team

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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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 3 institutions in 2 countries.

Kristin L AndrejkoDivision of Epidemiology and Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, California, USA.
Jake PryCalifornia Department of Public Health, Richmond, California, USA.
Jennifer F MyersCalifornia Department of Public Health, Richmond, California, USA.
Nicholas P JewellDivision of Epidemiology and Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, California, USA.
John OpenshawCalifornia Department of Public Health, Richmond, California, USA.
James WattCalifornia Department of Public Health, Richmond, California, USA.
Seema JainCalifornia Department of Public Health, Richmond, California, USA.
Joseph A LewnardDivision of Epidemiology and Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, California, USA.
California COVID-19 Case-Control Study Team
California Department of Public Health · USLondon School of Hygiene & Tropical Medicine · GBUniversity of California, Berkeley · US

Funding

Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 2019 to 2026
$2.9M
Emerging methods and applications for test-negative studies of of infectious disease interventionsR01AI148127 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI JEWELL, NICHOLAS P · 2020 to 2023
$1.8M
NIAID NIH HHS R01 AI148127NICHD NIH HHS P2C HD073964
6 · The paper itself

Abstract

backgroundEstimates of coronavirus disease 2019 (COVID-19) vaccine effectiveness under real-world conditions, and understanding of barriers to uptake, are necessary to inform vaccine rollout.

methodsWe enrolled cases (testing positive) and controls (testing negative) from among the population whose SARS-CoV-2 molecular diagnostic test results from 24 February to 29 April 2021 were reported to the California Department of Public Health. Participants were matched on age, sex, and geographic region. We assessed participants' self-reported history of mRNA-based COVID-19 vaccine receipt (BNT162b2 and mRNA-1273). Participants were considered fully vaccinated 2 weeks after second dose receipt. Among unvaccinated participants, we assessed willingness to receive vaccination. We measured vaccine effectiveness (VE) via the matched odds ratio of prior vaccination, comparing cases with controls.

resultsWe enrolled 1023 eligible participants aged ≥18 years. Among 525 cases, 71 (13.5%) received BNT162b2 or mRNA-1273; 20 (3.8%) were fully vaccinated with either product. Among 498 controls, 185 (37.1%) received BNT162b2 or mRNA-1273; 86 (16.3%) were fully vaccinated with either product. Two weeks after second dose receipt, VE was 87.0% (95% confidence interval: 68.6-94.6%) and 86.2% (68.4-93.9%) for BNT162b2 and mRNA-1273, respectively. Fully vaccinated participants receiving either product experienced 91.3% (79.3-96.3%) and 68.3% (27.9-85.7%) VE against symptomatic and asymptomatic infection, respectively. Among unvaccinated participants, 42.4% (159/375) residing in rural regions and 23.8% (67/281) residing in urban regions reported hesitancy to receive COVID-19 vaccination.

conclusionsAuthorized mRNA-based vaccines are effective at reducing documented SARS-CoV-2 infections within the general population of California. Vaccine hesitancy presents a barrier to reaching coverage levels needed for herd immunity.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultBNT162 VaccineCaliforniaHumansmRNA VaccinesRNA, MessengerSARS-CoV-2BNT162 VaccineCOVID-19 VaccinesmRNA VaccinesRNA, MessengerCOVID-19real-world evidencetest-negative designvaccine effectiveness

Identifiers

PMID34282839
PMCPMC8406879
OpenAlexW3185475792

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.