Evidence map›Paper›PMID 41441701›Full record

ArticleVaccines2025

COVID-19 Vaccine Effectiveness Against Mortality in the Omicron Period: Evidence from Linked Mortality and Vaccination Records.

Sadia Farzana, Francesco Maria Rossi, Katie S Allen, Qian Luo, Jeff Whittle, Kevin McGurk, Benjamin W Weston, Andy Ye Yuan, Ali Moghtaderi, Vladimir Atanasov and 1 more

Abstract read
In one paragraph

Article in Vaccines, 2025. 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.

Sadia FarzanaPritzker School of Law, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-7674-4124
Francesco Maria RossiPritzker School of Law, Northwestern University, Chicago, IL 60611, USA.ORCID 0009-0002-8574-8458
Katie S AllenCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN 46202, USA.ORCID 0000-0002-6058-6280
Qian LuoDepartment of Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC 20053, USA.
Jeff WhittleDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-9544-838X
Kevin McGurkDepartment of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-4843-6837
Benjamin W WestonDepartment of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Andy Ye YuanLevin College of Law, University of Florida, Gainesville, FL 32611, USA.
Ali MoghtaderiDepartment of Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC 20053, USA.
Vladimir AtanasovRaymond A. Mason School of Business, William & Mary, Williamsburg, VA 23185, USA.
Bernard BlackPritzker School of Law, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-6499-0600

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
NCATS NIH HHS UL1 TR001436NIH HHS 3UL1TR001436-06S1
6 · The paper itself

Abstract

objectiveThis study aimed to assess COVID-19 vaccine effectiveness against death (VE), controlling for healthy vaccinee bias.

methodsWe link all adult deaths through year-end 2022 in the State of Indiana, U.S.A., to vaccination records and identify which deceased received primary vaccination (measured as either one or two initial doses) and which received one or two booster doses. We measure COVID-19 mortality with the COVID Excess Mortality Percentage (CEMP). CEMP is calculated, for a group defined by various characteristics (age, sex, time period), as COVID-19 deaths divided by non-COVID natural deaths. The CEMP outcome measure accounts for healthy vaccinee bias by using non-COVID natural mortality to control for differences in population health.

resultsWe find a large healthy vaccinee bias. Controlling for this bias, we find substantial VE for primary vaccination and the first booster dose during the first five vaccine-available calendar quarters, from 1Q2021 through 1Q2022 (end of Omicron infection wave). However, over 2Q-4Q2022, we find no evidence for primary-vaccination VE, and find moderate but statistically insignificant booster VE, which largely wanes by 4Q2022.

conclusionsIt is known that by 2Q2022, most people had natural immunity from prior COVID-19 infection. Thus, our results for 2Q-4Q2022 largely reflect comparing hybrid (infection plus vaccination) immunity to infection-only immunity. In this period, we find negligible mortality benefit from primary vaccination, and moderate but waning benefit from a booster dose. POLICY IMPLICATIONS: Controlling for healthy vaccinee bias is crucial when estimating VE. We found limited VE against COVID-19 mortality over 2Q-4Q2022, but lacked data for more recent periods.

Indexed as

cause of deathCOVID-19COVID-19 mortalityCOVID Excess Mortality Percentagehealthy vaccinee biashybrid immunityvaccine effectivenesswaning vaccine effectiveness

Identifiers

PMID41441701
PMCPMC12737531

What OpenQuestion holds

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LicenceCC BY
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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.