Evidence map›Paper›PMID 34653544›Full record

ArticleMicrobial pathogenesis2021

SARS-CoV-2 mutational cascades and the risk of hyper-exponential growth.

John M Halley, Despoina Vokou, Georgios Pappas, Ioannis Sainis

Abstract read
In one paragraph

Article in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Endogenous viral mutations, evolutionary selection, and containment policy design.Journal of economic interaction and coordination · 2022
    Article
  7. Article
  8. Review
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

4 authors.

John M HalleyLaboratory of Ecology, Department of Biological Applications and Technology, Faculty of Health Sciences, University of Ioannina, 45110, Ioannina, Greece. Electronic address: jhalley@uoi.gr.
Despoina VokouDepartment of Ecology, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Georgios PappasInstitute of Continuing Medical Education of Ioannina, Ioannina, Greece.
Ioannis SainisMedical School, Faculty of Health Sciences, University of Ioannina, 45110, Ioannina, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of novel SARS-CoV-2 variants of concern (VOC), in late 2020, with selective transmission advantage and partial immunity escape potential, has been driving further evolution in the pandemic. The timing of mutational evolution and its limits are thus of paramount importance in preparedness planning. Here, we present a model predicting the pattern of epidemic growth including the emergence of variants through mutation. It is based on the SEIR (Susceptible, Exposed, Infected, Removed) model, but its equations are modified according to the transmission parameters of novel variants. Since more transmissible strains will drive a further increase in the number of cases, they will also lead to further novel mutations. As one cannot predict whether there is a viral mutational evolutionary limit, we model a cascade that could lead to hyper-exponential growth (HEG) involving the emergence of even more transmissible mutants that could overwhelm any systematic response. Our results are consistent with the timing, since the beginning of the pandemic, of the concurrent and independent emergence of the VOCs. The current dominance of the Delta variant and the need for additional public health measures indicates some of the risks of a possible HEG. We examine conditions that favor the expected appearance of similar variants, thus enabling better preparedness and more targeted research.

Indexed as

COVID-19SARS-CoV-2HumansMutationPandemicsHyper-exponential growthMutationSARS-CoV-2SEIR modelTransmission coefficientVariant of concern

Identifiers

PMID34653544
PMCPMC8507571

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.