Evidence map›Paper›PMID 37078070›Full record

ArticleInfluenza and other respiratory viruses2023

Genomic surveillance of SARS-CoV-2 strains circulating in Iran during six waves of the pandemic.

Kaveh Sadeghi, Sevrin Zadheidar, Arghavan Zebardast, Ahmad Nejati, Marziyeh Faraji, Nastaran Ghavami, Shirin Kalantari, Vahid Salimi, Jila Yavarian, Adel Abedi and 2 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Kaveh SadeghiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Sevrin ZadheidarVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Arghavan ZebardastVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Ahmad NejatiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Marziyeh FarajiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Nastaran GhavamiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Shirin KalantariVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Vahid SalimiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Jila YavarianVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Adel AbediMathematics Department Shahid Beheshti University Tehran Iran.
Nazanin Zahra Shafiei JandaghiVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Talat Mokhtari-AzadVirology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-CoV-2 genomic surveillance is necessary for the detection, monitoring, and evaluation of virus variants, which can have increased transmissibility, disease severity, or other adverse effects. We sequenced 330 SARS-CoV-2 genomes during the sixth wave of the COVID pandemic in Iran and compared them with five previous waves, for identifying SARS-CoV-2 variants, the genomic behavior of the virus, and understanding its characteristics. Methods: After viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq and Nanopore platforms. The sequencing data were analyzed and compared with reference sequences. Results: In Iran during the first wave, V and L clades were detected. The second wave was recognized by G, GH, and GR clades. Circulating clades during the third wave were GH and GR. In the fourth wave, GRY (alpha variant), GK (delta variant), and one GH clade (beta variant) were detected. All viruses in the fifth wave were in GK clade (delta variant). In the sixth wave, Omicron variant (GRA clade) was circulating. Conclusions: Genome sequencing, a key strategy in genomic surveillance systems, helps to detect and monitor the prevalence of SARS-CoV-2 variants, monitor the viral evolution of SARS-CoV-2, identify new variants for disease prevention, control, and treatment, and also provide information for and conduct public health measures in this area. With this system, Iran could be ready for surveillance of other respiratory virus diseases besides influenza and SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansIranPandemicsIranNGSSARS‐CoV‐2variants

Identifiers

PMID37078070
PMCPMC10106497

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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.