Evidence map›Paper›PMID 38005903›Full record

ArticleViruses2023

Genomic Surveillance of SARS-CoV-2 in México: Three Years since Wuhan, China's First Reported Case.

Juan Daniel Lira-Morales, Osvaldo López-Cuevas, José Andrés Medrano-Félix, Jean Pierre González-Gómez, Irvin González-López, Nohelia Castro-Del Campo, Bruno Gomez-Gil, Cristóbal Chaidez

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Juan Daniel Lira-MoralesCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.ORCID 0000-0002-7558-3963
Osvaldo López-CuevasCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.ORCID 0000-0002-7262-6593
José Andrés Medrano-FélixInvestigadoras e Investigadores por México-Centro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.
Jean Pierre González-GómezCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.ORCID 0000-0003-2994-4358
Irvin González-LópezCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.
Nohelia Castro-Del CampoCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.
Bruno Gomez-GilCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Mazatlán, Mazatlan 82112, Mexico.ORCID 0000-0002-3695-3597
Cristóbal ChaidezCentro de Investigación en Alimentación y Desarrollo A.C., Coordinación Regional Culiacán, Culiacan 80110, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this work was to analyze the metadata of the SARS-CoV-2 sequences obtained from samples collected in Mexico from 2020 to 2022. MATERIALS AND

methodsMetadata of SARS-CoV-2 sequences from samples collected in Mexico up to 31 December 2022 was retrieved from GISAID and manually cured for interpretation.

resultsAs of December 2022, Mexican health authorities and the scientific community have sequenced up to 81,983 SARS-CoV-2 viral genomes deposited in GISAID, representing 1.1% of confirmed cases. The number of sequences obtained per state corresponded to the gross domestic product (GDP) of each state for the first (Mexico City) and the last (Tlaxcala). Approximately 25% of the sequences were obtained from CoViGen-Mex, an interdisciplinary initiative of health and scientific institutions to collect and sequence samples nationwide. The metadata showed a clear dominance of sequences retrieved by women. A similar variant distribution over time was found in Mexico and overseas, with the Omicron variant predominating. Finally, the age group with the highest representation in the sequences was adults aged 21 to 50 years, accounting for more than 50% of the total.

conclusionsMexico presents diverse sociodemographic and economic characteristics. The COVID-19 pandemic has been and continues to be a challenge for collaboration across the country and around the world.

Indexed as

COVID-19SARS-CoV-2AdultChinaFemaleGenomicsHumansMexicoPandemicsCOVID-19genomic surveillancemetadataSARS-CoV-2

Identifiers

PMID38005903
PMCPMC10674944

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.