Evidence map›Paper›PMID 37322028›Full record

ArticleNature communications2023

Phylodynamic of SARS-CoV-2 during the second wave of COVID-19 in Peru.

Santiago Justo Arevalo, Carmen Sofia Uribe Calampa, Cinthy Jimenez Silva, Mauro Quiñones Aguilar, Remco Bouckaert, Joao Renato Rebello Pinho

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Detection of SARS-CoV-2 variants in hospital wastewater in Peru, 2022.Revista peruana de medicina experimental y salud publica · 2024
    Article
  7. Article
  8. Article
  9. 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

6 authors.

Santiago Justo ArevaloFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru. santiago.justo@urp.edu.pe.ORCID 0000-0001-8833-4395
Carmen Sofia Uribe CalampaFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Cinthy Jimenez SilvaSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-4247-1014
Mauro Quiñones AguilarFacultad de Ciencias Biológicas, Universidad Ricardo Palma, Lima, Peru.
Remco BouckaertSchool of Computer Science, University of Auckland, Auckland, New Zealand.
Joao Renato Rebello PinhoLaboratório Clínico do Hospital Israelita Albert Einstein, São Paulo, Brasil.ORCID 0000-0003-3999-0489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At over 0.6% of the population, Peru has one of the highest SARS-CoV-2 mortality rate in the world. Much effort to sequence genomes has been done in this country since mid-2020. However, an adequate analysis of the dynamics of the variants of concern and interest (VOCIs) is missing. We investigated the dynamics of the COVID-19 pandemic in Peru with a focus on the second wave, which had the greatest case fatality rate. The second wave in Peru was dominated by Lambda and Gamma. Analysis of the origin of Lambda shows that it most likely emerged in Peru before the second wave (June-November, 2020). After its emergence it reached Argentina and Chile from Peru where it was locally transmitted. During the second wave in Peru, we identify the coexistence of two Lambda and three Gamma sublineages. Lambda sublineages emerged in the center of Peru whereas the Gamma sublineages more likely originated in the north-east and mid-east. Importantly, it is observed that the center of Peru played a prominent role in transmitting SARS-CoV-2 to other regions within Peru.

Indexed as

COVID-19SARS-CoV-2ArgentinaHumansPandemicsPeru

Identifiers

PMID37322028
PMCPMC10272135

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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.