Evidence map›Paper›PMID 35317482›Full record

ArticleThe Pan African medical journal2022

Study of the SARS-CoV-2 genomic data generation to evaluate the introduction of genomics in epidemiological surveillance and public health decision making.

Tiatou Souho, Lallepak Lamboni, Bianza Moise Bakadia, Essodolom Taale, Koffi Kibalou Palanga, Sabiba Kou'santa Amouzou

Abstract read
In one paragraph

Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Tiatou SouhoDépartement des Sciences de la Vie et de la Terre, Faculté des Sciences et Techniques, Université de Kara, Kara, Togo.
Lallepak LamboniDépartement des Sciences de la Vie et de la Terre, Faculté des Sciences et Techniques, Université de Kara, Kara, Togo.
Bianza Moise BakadiaDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, PR China.
Essodolom TaaleDépartement des Sciences de la Vie et de la Terre, Faculté des Sciences et Techniques, Université de Kara, Kara, Togo.
Koffi Kibalou PalangaInstitut Supérieur des Métiers de l´Agriculture, Université de Kara, Kara, Togo.
Sabiba Kou'santa AmouzouDépartement des Sciences de la Vie et de la Terre, Faculté des Sciences et Techniques, Université de Kara, Kara, Togo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: the limited number of equipped laboratories and the lack of expertise left Africa lagging behind in terms of contribution in genomic data generation. The COVID-19 pandemic has drawn the attention of all public health stakeholders so that it can be used as a marker of the efforts that public health systems can produced. The main purpose of the present analytical study was to evaluate the contribution of the African continent in the genomic surveillance of SARS-CoV-2. Methods: data from the two most popular genomic databases on SARS-CoV-2 (GISAID EpiCov and NCBI Virus) were extracted and analyzed. Comparisons were made using the sequencing ratio which represents the number of genomic sequence published over one thousands confirmed cases. Results: considering continental blocks, the Africa occupied the fourth place after Oceania, Europe and North America based on sequencing ratios. However, when the considered comparison parameter is the number of sequences, the African continent was the fifth contributor after Europe, North America, Asia and South America. Conclusion: the study showed that African countries have effectively integrated the genomic data generation in the public health response strategies but the effective use of these data for a perfect surveillance is not clearly established. There is a need for capacity building in genomic data analyses for a better response to public health threats in Africa.

Indexed as

COVID-19SARS-CoV-2Decision MakingGenome, ViralGenomicsHumansPandemicsPublic HealthAfricaCOVID-19Genomic surveillanceSARS-CoV-2

Identifiers

PMID35317482
PMCPMC8917452

What OpenQuestion holds

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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.