Evidence map›Paper›PMID 40748451›Full record

ArticleInfection2025

Role of vaccines in competitive displacement between SARS-CoV-2 viruses as revealed by the modeling of surveillance data.

Hani E J Kaba, Nikita Srivastava, Felix Hartkopf, Maike Hohberg, Josué A Bucio-Garcia, Martin Misailovski, Franz-Christoph Bange, Michael Kleines, Tim Friede, Tim Eckmanns and 1 more

Abstract read
In one paragraph

Article in Infection, 2025. 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

11 authors.

Hani E J Kaba *Department of Infection Control and Infectious Diseases (IH&I), University Medical Center Göttingen (UMG), Göttingen, Germany.
Nikita Srivastava *Department of Infection Control and Infectious Diseases (IH&I), University Medical Center Göttingen (UMG), Göttingen, Germany.
Felix HartkopfRobert Koch Institute (RKI), Berlin, Germany.
Maike HohbergDepartment of Medical Statistics, University Medical Center Göttingen (UMG), Göttingen, Germany.
Josué A Bucio-GarciaDepartment of Infection Control and Infectious Diseases (IH&I), University Medical Center Göttingen (UMG), Göttingen, Germany.
Martin MisailovskiDepartment of Infection Control and Infectious Diseases (IH&I), University Medical Center Göttingen (UMG), Göttingen, Germany.
Franz-Christoph BangeInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School (MHH), Hannover, Germany.
Michael KleinesLaboratory Diagnostic Center, University Hospital RWTH Aachen, Aachen, Germany.
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen (UMG), Göttingen, Germany.
Tim EckmannsRobert Koch Institute (RKI), Berlin, Germany.
Simone ScheithauerDepartment of Infection Control and Infectious Diseases (IH&I), University Medical Center Göttingen (UMG), Göttingen, Germany. krankenhaushygiene.leitung@med.uni-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSARS-CoV-2 Omicron onset resulted in the rapid displacement of Delta and subsequent intra-Omicron displacement-events. Evidence of geographical diversity on the dynamics is present between and within countries. Considering Omicron’s immune-evasive potential compared to earlier variants, we investigated whether vaccines have influenced local dominance patterns in Germany.

methodsWe used weekly-binned genomic surveillance-data representing 48 regional outbreaks with as many displacement-events. Displacement occurred when a given variant constituted ≥ 50% of all isolates. We ran mixed-effect models to quantify vaccine-density effects on the time-to-displacement (ttd) and survival analysis to compare displacement-free time-intervals. Finally, we compared antigenic properties between variants, analyzing receptor-binding domain (RBD) epitope mutations and estimating RBD-residues antigenicity in solved S-protein structures.

resultsAnalyzing 895,000 isolates, we calculated ttd-intervals for the Omicron-Delta, BA.2-BA.1 and BA.5-BA.2 displacements. Mixed-effect models suggested the more vaccines have been administered, the sooner a displacement occurred, observing stronger effects for vaccines administered in temporal proximity to displacement-events (2–7% shorter intervals for one vaccination per 10 immunity-events). Survival analysis suggested stronger effects for Omicron-Delta than intra-Omicron displacements. In silico analysis of ca. 500 epitopes and 27,000 residues suggested antigenic change-driven selection as a likely explanation.

conclusionThis is the first indication of vaccines influencing competitive displacement between SARS-CoV-2 species within a single, socio-demographically homogenous healthcare-system. Since Omicron infections resulted in less adverse outcomes than Delta, our results help understanding the success of vaccines in avoiding severe outcomes at population level. This is particularly important for future pandemics with impacts on timeliness and intensity of vaccination campaigns.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2GermanyHumansSpike Glycoprotein, CoronavirusCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Mixed modelsSARS-COV-2SurveillanceVaccines

Identifiers

PMID40748451
PMCPMC12675727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.