ArticleJournal of biosciences2021
Pattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted nonrandom changes: Analysis using Shewhart control charts.
Article in Journal of biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Evolution of Sequence and Structure of SARS-CoV-2 Spike Protein: A Dynamic Perspective.ACS omega · 2023Review
- The first three waves of the Covid-19 pandemic hint at a limited genetic repertoire for SARS-CoV-2.FEMS microbiology reviews · 2022Article
- A review of the effect of COVID-19 on immune responses of the body.Journal of family medicine and primary care · 2022Review
- Moderating effect of OHS actions based on WHO recommendations to mitigate the effects of COVID-19 in multinational companies.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2022Article
- SARS-CoV-2 in Egypt: epidemiology, clinical characterization and bioinformatics analysis.Heliyon · 2022Article
- Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning.Frontiers in genetics · 2022Article
- Application of Shewhart Control Chart in Controlling Adverse Events in Patients with Severe Acute Organophosphorus Pesticide Poisoning Undergoing Blood Purification.Emergency medicine international · 2022Article
- The Mutational Landscape of SARS-CoV-2 Variants of Concern Recovered From Egyptian Patients in 2021.Frontiers in microbiology · 2022Article
- Performance evaluation of occupational health and safety in relation to the COVID-19 fighting practices established by WHO: Survey in multinational industries.Safety science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SARS-CoV-2 is a member of the Coronavirus family which recently originated from the Wuhan province of China and spread very rapidly through the world infecting more than 4 million people. In the past, other Coronaviruses have also been found to cause human infection, but not as widespread as COVID-19. Since Coronavirus sequences constantly change due to mutation and recombination, it is important to understand the pattern of changes and likely path the virus can take in the future. In this study, we have used the Shewhart control chart to identify and analyze hypervariable (hotspots) and hypovariable (coldspots) regions of the virus. Our analysis shows that SARS-CoV-2 has changed in a few regions of the genome. Analysis of SARS-CoV-1 and MERS sequences suggests that over time, mutations start accumulating in different regions and most likely SARS-CoV-2 may also follow a similar path. The results suggest a possible emergence of modified viruses over some time.
Indexed as
Identifiers
33709963PMC7856336W3127999223What OpenQuestion holds
Registered trials
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.