Evidence map›Paper›PMID 42779989›Full record

ArticlebioRxiv : the preprint server for biology2026

Transmission of mutated SARS-CoV-2 variants is favored by relatively prolonged infections due to delayed immunity.

Katherine Owens, Pierce Radecki, Stefano Tempia, Anne von Gottberg, Cheryl Cohen, Eli Boritz, Joshua T Schiffer, Daniel B Reeves

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.

Katherine OwensFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, WA.ORCID 0000-0002-5695-0203
Pierce RadeckiVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.ORCID 0000-0002-1103-5327
Stefano TempiaPartnership for International Vaccine Initiative, Task Force for Global Health, Atlanta, GA.ORCID 0000-0003-4395-347X
Anne von GottbergCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID 0000-0002-0243-7455
Cheryl CohenCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa.ORCID 0000-0003-0376-2302
Eli BoritzVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.ORCID 0000-0003-4633-4594
Joshua T SchifferFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, WA.ORCID 0000-0002-2598-1621
Daniel B ReevesFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, WA.ORCID 0000-0001-5684-9538

Funding

Phylodynamic mechanisms of HIV reservoir seeding and maintenanceR01AI186721 · NIAID · FRED HUTCHINSON CANCER CENTER · PI Daniel Reeves · 2024 to 2026
$2.6M
Modeling SARS-CoV-2 variant emergence from immunocompromised hostsK25AI196259 · NIAID · FRED HUTCHINSON CANCER CENTER · PI Katherine Owens · 2026 to 2026
$162k
NIAID NIH HHS K25 AI196259NIAID NIH HHS R01 AI186721
6 · The paper itself

Abstract

SARS-CoV-2 evolution enhanced viral fitness and immune evasion, extending the COVID-19 pandemic and resulting in millions of excess deaths. Viral diversity is generated within infected individuals, yet the timing and interplay of viral and immunological forces that drive transmissible evolution are incompletely understood. We developed a multi-scale within host phylodynamic (WiPhy) model of SARS-CoV-2 infection which couples viral replication, innate and acquired immune responses, and viral mutation. We then validated the model against quantitative viral and phylodynamic metrics. Model output predicts that typical acute infections rapidly generate genetic diversity due to accumulation of minor variants which in most cases do not achieve sufficient concentrations for transmission. Delayed innate immune responses correlate with higher peak viral load and diversification, allowing higher transmission risk of the founder virus or with a novel variant that is equally or less fit. In contrast, the risk of transmitting a fitter variant is highest during the ~10% of infections in which viral loads remain sufficiently high for transmission after 10-14 days. In these cases, non-sustained innate and/or weak acquired immune responses allow sufficient time for selection of a variant with one or more fitness enhancing non-synonymous mutations. Across a simulated cohort of ~1500 individuals, 5% of transmission risk came from variants with enhanced fitness from nonsynonymous mutations, and 13% of simulated infections accounted for 90% of fitter variant transmission risk. Our results highlight how the timing and interplay of viral and immunological forces within a host create bottlenecks that severely limit between host evolution.

Indexed as

mathematical modelmulti-scale modeltransmission dynamicswithin-host evolutionwithin-host phylodynamics

Identifiers

PMID42779989
PMCPMC13596371

What OpenQuestion holds

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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.