Evidence map›Paper›PMID 42129996›Full record

ArticleBMJ open2026

How does prior infection and vaccination relate to the risk of incident SARS-CoV-2 infection/reinfection? A prospective cohort study among nine clinical sites in the USA, February 2021 to January 2023.

Ashley Judge, Erika T Beidelman, David B Allison, Stephanie Dickinson, Kishore M Gadde, Lilian Golzarri Arroyo, John P Ioannidis, Anna Lm Macagno, Jonathan T Macy, Kevin C Maki and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 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

14 authors.

Ashley JudgeDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.ORCID http://orcid.org/0000-0003-4501-9744
Erika T BeidelmanDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Stephanie DickinsonBiostatistics Consulting Center, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Kishore M GaddeDepartment of Surgery, University of California Irvine School of Medicine, Irvine, California, USA.
Lilian Golzarri ArroyoBiostatistics Consulting Center, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
John P IoannidisDepartment of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID http://orcid.org/0000-0003-3118-6859
Anna Lm MacagnoBiostatistics Consulting Center, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Jonathan T MacyDepartment of Applied Health Science, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Kevin C MakiDepartment of Applied Health Science, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Stanley PerlmanDepartment of Microbiology and Immunology, University of Iowa, Iowa City, Iowa, USA.
Michael J RicciardiMabloc LLC, Washington, District of Columbia, USA.
Molly RosenbergDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Christina LudemaDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA cludema@iu.edu.

Funding

Role of eicosanoids in pathogenic human CoV infectionsR01AI129269 · NIAID · UNIVERSITY OF IOWA · PI Stanley Perlman · 2016 to 2026
$4.7M
NIAID NIH HHS R01 AI129269
6 · The paper itself

Abstract

objectiveTo estimate the relative effectiveness of vaccination (0, 1, 2, ≥3 doses) and prior infection, in combination, on risk of SARS-CoV-2 infection/reinfection.

designProspective cohort study.

participantsWe recruited participants for the Aegis Study from nine clinics across five US states. Participants must have been 18 years or older, had a history of a positive PCR for SARS-CoV-2, SARS-CoV-2 antigen or antibody test for SARS-CoV-2 with documentation or had no suspected or documented prior SARS-CoV-2 infection, intended to remain in study area for the next 12 months, and had elevated risk of future SARS-CoV-2 exposure. Exclusion criteria included acute illness, contraindication to phlebotomy, use of immunosuppressants or receipt of systemic immunoglobulins.

methodsWe used extended Cox regression with robust standard errors to estimate the association between time-varying number of vaccine doses and baseline prior infection on risk of infection/reinfection among a prospective cohort of US adults between February 2021 and January 2023, accounting for censoring using inverse probability of censoring weights. Additionally, to quantify possible exposure misclassification of prior infection by comparing prior infection operationalised as (1) documented/self-reported prior infection and (2) documented/self-reported prior infection plus nucleocapsid antibody indication of prior infection.

resultsOf n=2178 who completed enrolment, n=1887 adults (63% female; 65% non-Latino White) contributed 366 905 days of observation. Participants contributed an average of 7.2 months of follow-up between February 2021 and January 2023. 28% (n=533) of individuals were infected or reinfected during the study period. Similar relative effectiveness was observed between the two different operationalisations of prior infection. After correction for prior infection status in the nearly 16% of those without study documentation of prior infection who had nucleocapsid antibody levels comparable to documented cases, relative to the unvaccinated with no prior infection, estimated effectiveness generally increased with increasing vaccine doses and prior infection (without prior infection: one (17%, 95% CI -31% to 47%), two (49%, 95% CI 31% to 63%), ≥three (71%, 95% CI 58% to 80%) vaccine doses; with prior infection: none (56%, 95% CI 30% to 72%), one (71%, 95% CI 42% to 86%), two (65%, 95% CI 49% to 76%), ≥three (80%, 95% CI 68% to 88%) vaccine doses). Pairwise comparisons at each vaccine dose (ref: no prior infection) revealed that prior infection provided additional protection, with stronger relationships for no and one dose (none: 56% (95% CI 30% to 72%), one: 66% (95% CI 28% to 84%), two: 31% (95% CI 7% to 49%), ≥three 31% (95% CI 0% to 53%)). There was a marked decrease in the protection offered by vaccination, prior infection, or both in the Omicron period versus pre-Omicron period.

conclusionIn our real-world observational sample, vaccination (with two and ≥three vaccine doses of any Food and Drug Administration Emergency Use Authorization approved vaccine) and prior infection conferred benefits for protection against infection/reinfection. Re-classification of prior infection status based on antibody levels had little effect on results.

Indexed as

COVID-19COVID-19 VaccinesReinfectionVaccinationAdultAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesSARS-CoV-2United StatesCOVID-19 VaccinesCOVID-19ImmunityProspective studiesVaccination

Identifiers

PMID42129996
PMCPMC13182368

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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.