Evidence map›Paper›PMID 37301830›Full record

ArticleBMC genomics2023

Genomic surveillance of severe acute respiratory syndrome coronavirus 2 in Burundi, from May 2021 to January 2022.

Cassien Nduwimana, Néhémie Nzoyikorera, Armstrong Ndihokubwayo, Théogène Ihorimbere, Célestin Nibogora, Adolphe Ndoreraho, Oscar Hajayandi, Jean Claude Bizimana, Idrissa Diawara, Dionis Niyonizigiye and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 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
–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

0 citing papers in PubMed.

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

11 authors.

Cassien NduwimanaNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi. cassimbare@gmail.com.
Néhémie NzoyikoreraNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Armstrong NdihokubwayoNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Théogène IhorimbereNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Célestin NibogoraNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Adolphe NdorerahoNational Institute of Public Health, Ministry of Public Health and the Fight against AIDS, Bujumbura, Burundi.
Oscar HajayandiNational Reference Laboratory, National Institute of Public Health, Bujumbura, Burundi.
Jean Claude BizimanaPublic Health Emergency Operation Center, Ministry of Public Health and the Fight against AIDS, Bujumbura, Burundi.
Idrissa DiawaraMohamed VI University of Health Sciences (UM6SS), Higher Institute of Biosciences and Biotechnology, Casablanca, Morocco.
Dionis NiyonizigiyeNational Institute of Public Health, Ministry of Public Health and the Fight against AIDS, Bujumbura, Burundi.
Joseph NyandwiNational Institute of Public Health, Ministry of Public Health and the Fight against AIDS, Bujumbura, Burundi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence and rapid spread of new severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) variants have challenged the control of the COVID-19 pandemic globally. Burundi was not spared by that pandemic, but the genetic diversity, evolution, and epidemiology of those variants in the country remained poorly understood. The present study sought to investigate the role of different SARS-COV-2 variants in the successive COVID-19 waves experienced in Burundi and the impact of their evolution on the course of that pandemic. We conducted a cross-sectional descriptive study using positive SARS-COV-2 samples for genomic sequencing. Subsequently, we performed statistical and bioinformatics analyses of the genome sequences in light of available metadata.

resultsIn total, we documented 27 PANGO lineages of which BA.1, B.1.617.2, AY.46, AY.122, and BA.1.1, all VOCs, accounted for 83.15% of all the genomes isolated in Burundi from May 2021 to January 2022. Delta (B.1.617.2) and its descendants predominated the peak observed in July-October 2021. It replaced the previously predominant B.1.351 lineage. It was itself subsequently replaced by Omicron (B.1.1.529, BA.1, and BA.1.1). Furthermore, we identified amino acid mutations including E484K, D614G, and L452R known to increase infectivity and immune escape in the spike proteins of Delta and Omicron variants isolated in Burundi. The SARS-COV-2 genomes from imported and community-detected cases were genetically closely related.

conclusionThe global emergence of SARS-COV-2 VOCs and their subsequent introductions in Burundi was accompanied by new peaks (waves) of COVID-19. The relaxation of travel restrictions and the mutations occurring in the virus genome played an important role in the introduction and the spread of new SARS-COV-2 variants in the country. It is of utmost importance to strengthen the genomic surveillance of SARS-COV-2, enhance the protection by increasing the SARS-COV-2 vaccine coverage, and adjust the public health and social measures ahead of the emergence or introduction of new SARS-COV-2 VOCs in the country.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesCross-Sectional StudiesGenomicsHumansPandemicsCOVID-19 VaccinesAmino acid changeCOVID-19Genetic diversityLineageSARS-COV-2 variantsWaves

Identifiers

PMID37301830
PMCPMC10257533

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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.