Evidence map›Paper›PMID 34834967›Full record

ArticleViruses2021

Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic.

Blanca Taboada, Selene Zárate, Pavel Iša, Celia Boukadida, Joel Armando Vazquez-Perez, José Esteban Muñoz-Medina, José Ernesto Ramírez-González, Andreu Comas-García, Concepción Grajales-Muñiz, Alma Rincón-Rubio and 13 more

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  7. [Brief organizational history of epidemiological surveillance at the IMSS].Revista medica del Instituto Mexicano del Seguro Social · 2025
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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

23 authors.

Blanca TaboadaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0003-1896-5962
Selene ZáratePosgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México, Mexico City 03100, Mexico.ORCID 0000-0003-1034-204X
Pavel IšaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0002-3175-0993
Celia BoukadidaCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.ORCID 0000-0002-1744-0083
Joel Armando Vazquez-PerezInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.ORCID 0000-0002-8508-3698
José Esteban Muñoz-MedinaDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, Mexico City 07760, Mexico.ORCID 0000-0002-1289-4457
José Ernesto Ramírez-GonzálezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City 01480, Mexico.
Andreu Comas-GarcíaFacultad de Medicina y Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78120, Mexico.ORCID 0000-0002-2368-1529
Concepción Grajales-MuñizCoordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, Mexico City 07760, Mexico.
Alma Rincón-RubioCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.ORCID 0000-0002-0313-2792
Margarita Matías-FlorentinoCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
Alejandro Sanchez-FloresUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0003-0476-3139
Edgar Mendieta-CondadoInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City 01480, Mexico.
Jerome VerleyenUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0002-7484-8739
Gisela Barrera-BadilloInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City 01480, Mexico.ORCID 0000-0002-8760-2455
Lucía Hernández-RivasInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City 01480, Mexico.
Fidencio Mejía-NepomucenoInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
José Arturo Martínez-OrozcoInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
Eduardo Becerril-VargasInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
Susana LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0001-6336-9209
Irma López-MartínezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Mexico City 01480, Mexico.
Santiago Ávila-RíosCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City 14080, Mexico.
Carlos F AriasDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca 62210, Mexico.ORCID 0000-0003-3130-4501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the first year of the SARS-CoV-2 pandemic in Mexico, more than two million people were infected. In this study, we analyzed full genome sequences from 27 February 2020 to 28 February 2021 to characterize the geographical and temporal distribution of SARS-CoV-2 lineages and identify the most common circulating lineages during this period. We defined six different geographical regions with particular dynamics of lineage circulation. The Northeast and Northwest regions were the ones that exhibited the highest lineage diversity, while the Central south and South/Southeast regions presented less diversity with predominance of a certain lineage. Additionally, by late February 2021, lineage B.1.1.519 represented more than 89% of all circulating lineages in the country.

Indexed as

Genetic VariationCOVID-19Evolution, MolecularGenetic TestingGenome, ViralHumansMexicoPhylogenySARS-CoV-2Whole Genome Sequencinggenomic surveillanceSARS-CoV-2viral diversity

Identifiers

PMID34834967
PMCPMC8622467

What OpenQuestion holds

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LicenceCC BY
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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.