Evidence map›Paper›PMID 41547989›Full record

ArticleNPJ vaccines2026

Association between COVID-19 vaccine efficacy and epidemic force of infection.

Jing Xu, M Elizabeth Halloran, Mia Moore, Lily Zhang, Ollivier Hyrien, Alex Luedtke, Hana M El Sahly, Lindsey R Baden, Paul A Goepfert, Glenda Gray and 16 more

Abstract read
In one paragraph

Article in NPJ vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Jing XuVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
M Elizabeth HalloranVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Mia MooreVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lily ZhangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Ollivier HyrienVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Alex LuedtkeDepartment of Statistics, University of Washington, Seattle, WA, USA.
Hana M El SahlyDepartment of Molecular Virology and Microbiology, Infectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Lindsey R BadenDivision of Infectious Diseases, Brigham and Women's Hospital, Boston, MA, USA.
Paul A GoepfertThe University of Alabama at Birmingham, Birmingham, AL, USA.
Glenda GraySouth African Medical Research Council, Cape Town, South Africa.
Beatriz GrinsztejnEvandro Chagas National Institute of Infectious Diseases-Fiocruz, Rio de Janeiro, Brazil.
Magdalena E SobieszczykDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Ann R FalseyDivision of Infectious Diseases, Department of Medicine, University of Rochester, Rochester, NY, USA.
Samuel T RobinsonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Nina Marie G GarciaVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Honghong ZhouBiostatistics, Moderna, Cambridge, MA, USA.
Ilse van DrommeJohnson & Johnson, Beerse, Belgium.
Carla TruyersJohnson & Johnson, Beerse, Belgium.
Ian HirschBiometrics, Vaccines & Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Kathleen M NeuzilFogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Lawrence CoreyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
James G KublinVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Dean FollmannBiostatistics Research Branch, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA.
Holly E JanesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Peter B GilbertVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Yunda HuangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. yunda@fredhutch.org.

Funding

LOC: HIV Vaccine Trials NetworkUM1AI068614 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Dan H. Barouch, Lawrence Corey · 2011 to 2026
$1175.6M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)U01AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI GRINSZTEJN, BEATRIZ · 2008 to 2011
$14.0M
NIAID NIH HHS U01 AI069476NIAID NIH HHS UM1 AI068614NIAID NIH HHS UM1 AI068635NIAID NIH HHS UM1 AI069476
6 · The paper itself

Abstract

The association between vaccine efficacy (VE) and force of infection (FoI) remains incompletely understood. Previous analyses have been primarily based on trial-level summary data-not accounting for the effect of time and constrained by the number of trials. Here, we leverage individual-level data from three phase 3 randomized, placebo-controlled COVID-19 vaccine trials-the COVE trial (Moderna, CoVPN3001), the AZD1222 trial (AstraZeneca, CoVPN3002), and the ENSEMBLE trial (Janssen/Johnson & Johnson, CoVPN3003)-and contemporaneous geographic-location-specific SARS-CoV-2 surveillance data from the start of the pandemic through November 14, 2021 (including the blinded follow-up periods of the trials) to conduct five cohort- and vaccine-specific analyses: COVE (U.S.), AZD1222 overall (U.S. + non-U.S.), AZD1222 U.S., ENSEMBLE overall (U.S. + non-U.S.), and ENSEMBLE U.S. In AZD1222 U.S., higher VE was associated with higher FoI (p = 0.01). In ENSEMBLE overall, lower VE was marginally associated with higher FoI (p = 0.21), further supported by a region-specific analysis. In COVE, AZD1222 overall, and ENSEMBLE U.S., no VE-FoI association was found. These findings highlighted a new perspective: the VE-FoI association appears complex, potentially influenced by FoI levels, with patterns suggesting an inverted U-shaped relationship, showing a positive association at low FoI levels and a negative association at high levels.

Identifiers

PMID41547989
PMCPMC12921246

What OpenQuestion holds

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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.