Evidence map›Paper›PMID 42124704›Full record

ArticlebioRxiv : the preprint server for biology2026

Transition from infectivity and immune escape to pure escape as an evolutionary strategy during the COVID-19 pandemic.

Benjamin Kotzen, Sarah Gurev, Noor Youssef, Javier Jaimes, Jeremy Luban, Debora Marks, Michael Seaman, Jacob E Lemieux

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Benjamin KotzenMassachusetts General Hospital.ORCID 0009-0007-2886-8521
Sarah GurevHarvard Medical School.
Noor YoussefHarvard Medical School.
Javier JaimesUniversity of Massachusetts Chan Medical School.ORCID 0000-0001-6706-092X
Jeremy LubanUniversity of Massachusetts Chan Medical School.ORCID 0000-0001-5650-4054
Debora MarksHarvard Medical School.
Michael SeamanBeth Israel Deaconess Medical Center.
Jacob E LemieuxMassachusetts General Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New SARS-CoV-2 variants have undergone repeated selective sweeps since the beginning of the COVID-19 pandemic, but the fitness advantages and mechanisms driving these sweeps are not fully understood. We developed a probabilistic modeling framework to analyze pandemic growth, infectivity, and immune escape, explicitly accounting for seven immune exposure histories in 5,732 experiments and estimating the effects of 835 mutations. We found infectivity was important for early variants, but as gains became zero-sum, growth became driven by consistent increase in immune escape conferred by a primarily additive effect of mutational accumulation. While phenotypic tradeoffs exist for individual mutations, successful viral strains boast assemblages of mutations that do not sacrifice infectivity for escape. Thus, during an apparent transition to endemicity, SARS-CoV-2 evolution ascended along an evolutionary ridge in the mutational space defined by infectivity and escape, with infectivity reaching an early peak and antigenicity continuing to evolve.

Identifiers

PMID42124704
PMCPMC13160004

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.