Evidence map›Paper›PMID 33517929›Full record

ArticleEpidemiology and infection2021

Diversity of SARS-CoV-2 isolates driven by pressure and health index.

R K Sanayaima Singh, Md Zubbair Malik, R K Brojen Singh

Abstract read
In one paragraph

Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

R K Sanayaima SinghSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Md Zubbair MalikSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.ORCID 0000-0001-6693-0401
R K Brojen SinghSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.ORCID 0000-0001-6856-5655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main concerns about the fast spreading coronavirus disease 2019 (Covid-19) pandemic is how to intervene. We analysed severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) isolates data using the multifractal approach and found a rich in viral genome diversity, which could be one of the root causes of the fast Covid-19 pandemic and is strongly affected by pressure and health index of the hosts inhabited regions. The calculated mutation rate (mr) is observed to be maximum at a particular pressure, beyond which mr maintains diversity. Hurst exponent and fractal dimension are found to be optimal at a critical pressure (Pm), whereas, for P > Pm and P < Pm, we found rich genome diversity relating to complicated genome organisation and virulence of the virus. The values of these complexity measurement parameters are found to be increased linearly with health index values.

Indexed as

Mutation RateCOVID-19Genome, ViralHumansSARS-CoV-2Fractal dimensionhealth indexHurst exponentmultifractal approachpressureSARS-CoV-2

Identifiers

PMID33517929
PMCPMC7884664

What OpenQuestion holds

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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.