Evidence map›Paper›PMID 37443390›Full record

ArticleCommunications medicine2023

Genomic epidemiology of SARS-CoV-2 variants during the first two years of the pandemic in Colombia.

Cinthy Jimenez-Silva, Ricardo Rivero, Jordan Douglas, Remco Bouckaert, Ch Julian Villabona-Arenas, Katherine E Atkins, Bertha Gastelbondo, Alfonso Calderon, Camilo Guzman, Daniel Echeverri-De la Hoz and 11 more

Abstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Cross-reactive humoral and CD4Frontiers in immunology · 2023
    Article
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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

21 authors.

Cinthy Jimenez-Silva *Centre for Computational Evolution, University of Auckland, Auckland, New Zealand. cjim882@aucklanduni.ac.nz.ORCID http://orcid.org/0000-0003-4247-1014
Ricardo Rivero *Instituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia. ricardoriveroh@correo.unicordoba.edu.co.ORCID http://orcid.org/0000-0003-2284-3335
Jordan DouglasCentre for Computational Evolution, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-0371-9961
Remco BouckaertCentre for Computational Evolution, University of Auckland, Auckland, New Zealand.
Ch Julian Villabona-ArenasCentre for Mathematical Modelling of Infectious Diseases and Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-9928-3968
Katherine E AtkinsCentre for Mathematical Modelling of Infectious Diseases and Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-5250-0558
Bertha GastelbondoInstituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia.
Alfonso CalderonInstituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia.ORCID http://orcid.org/0000-0001-6503-8323
Camilo GuzmanInstituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia.ORCID http://orcid.org/0000-0001-5616-1071
Daniel Echeverri-De la HozInstituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia.ORCID http://orcid.org/0000-0002-7953-2661
Marina MuñozCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Nathalia BallesterosCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Sergio CastañedaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Luz H PatiñoCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Angie RamirezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Nicolas LunaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Alberto Paniz-MondolfiMolecular Microbiology Laboratory, Department of Pathology, Molecular and Cell-based Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.ORCID http://orcid.org/0000-0003-1259-1736
Hector Serrano-CollInstituto Colombiano de Medicina Tropical-Universidad CES, Medellín, Colombia.
Juan David RamirezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia. juan.ramirezgonzalez@mountsinai.org.
Salim MattarInstituto de Investigaciones Biológicas del Trópico (IIBT), Facultad de Medicina Veterinaria y Zootecnia, Universidad de Córdoba, Montería, Colombia. smattar@correo.unicordoba.edu.co.ORCID http://orcid.org/0000-0003-0526-4630
Alexei J DrummondCentre for Computational Evolution, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-4454-2576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of highly transmissible SARS-CoV-2 variants has led to surges in cases and the need for global genomic surveillance. While some variants rapidly spread worldwide, other variants only persist nationally. There is a need for more fine-scale analysis to understand transmission dynamics at a country scale. For instance, the Mu variant of interest, also known as lineage B.1.621, was first detected in Colombia and was responsible for a large local wave but only a few sporadic cases elsewhere.

methodsTo better understand the epidemiology of SARS-Cov-2 variants in Colombia, we used 14,049 complete SARS-CoV-2 genomes from the 32 states of Colombia. We performed Bayesian phylodynamic analyses to estimate the time of variants' introduction, their respective effective reproductive number, and effective population size, and the impact of disease control measures.

resultsHere, we detect a total of 188 SARS-CoV-2 Pango lineages circulating in Colombia since the pandemic's start. We show that the effective reproduction number oscillated drastically throughout the first two years of the pandemic, with Mu showing the highest transmissibility (Re and growth rate estimation).

conclusionsOur results reinforce that genomic surveillance programs are essential for countries to make evidence-driven interventions toward the emergence and circulation of novel SARS-CoV-2 variants.

Identifiers

PMID37443390
PMCPMC10344885

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.