Evidence map›Paper›PMID 36474823›Full record

ArticleChaos, solitons, and fractals2023

Mutation and SARS-CoV-2 strain competition under vaccination in a modified SIR model.

M Ahumada, A Ledesma-Araujo, L Gordillo, J F Marín

Open access · greenAbstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2023. 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
2.4field-weighted citation impact, top 11% of its field
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, 12 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

M AhumadaDepartamento de Física, Universidad Técnica Federico Santa María, Casilla 110 V, Valparaíso, Chile.
A Ledesma-AraujoDepartamento de Física, Facultad de Ciencia, Universidad de Santiago de Chile, Usach, Av. Víctor Jara 3493, Estación Central, Santiago, Chile.
L GordilloDepartamento de Física, Facultad de Ciencia, Universidad de Santiago de Chile, Usach, Av. Víctor Jara 3493, Estación Central, Santiago, Chile.
J F MarínDepartamento de Física, Facultad de Ciencia, Universidad de Santiago de Chile, Usach, Av. Víctor Jara 3493, Estación Central, Santiago, Chile.
Universidad de Santiago de Chile · CLFederico Santa María Technical University · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The crisis caused by the COVID-19 outbreak around the globe raised an increasing concern about the ongoing emergence of variants of the virus that may evade the immune response provided by vaccines. New variants appear due to mutation, and as the cases accumulate, the probability of the emergence of a variant of concern increases. In this article, we propose a modified susceptible, infected, and recovered (SIR) model with waning immunity that captures the competition of two strain classes of an infectious disease under the effect of vaccination with a highly contagious and deadlier strain class emerging from a prior strain due to mutation. When these strains compete for a limited supply of susceptible individuals, changes in the efficiency of vaccines may affect the behaviour of the disease in a non-trivial way, resulting in complex outcomes. We characterise the parameter space including intrinsic parameters of the disease, and using the vaccine efficiencies as control variables. We find different types of transcritical bifurcations between endemic fixed points and a disease-free equilibrium and identify a region of strain competition where the two strain classes coexist during a transient period. We show that a strain can be extinguished either due to strain competition or vaccination, and we obtain the critical values of the efficiency of vaccines to eradicate the disease. Numerical studies using parameters estimated from publicly reported data agree with our theoretical results. Our mathematical model could be a tool to assess quantitatively the vaccination policies of competing and emerging strains using the dynamics in epidemics of infectious diseases.

Indexed as

COVID-19Multi-strain SIR modelsMutationVaccination strategies

Identifiers

PMID36474823
PMCPMC9715496
OpenAlexW4310616840

What OpenQuestion holds

Textmetadata
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.