Evidence map›Paper›PMID 33091066›Full record

ArticlePloS one2020

Time-lapse sentinel surveillance of SARS-CoV-2 spread in India.

Mukesh Thakur, Abhishek Singh, Bheem Dutt Joshi, Avijit Ghosh, Sujeet Kumar Singh, Neha Singh, Lalit Kumar Sharma, Kailash Chandra

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

8 authors at 3 institutions in 2 countries.

Mukesh ThakurZoological Survey of India, New Alipore, Kolkata, West Bengal, India.ORCID 0000-0003-2609-7579
Abhishek SinghZoological Survey of India, New Alipore, Kolkata, West Bengal, India.
Bheem Dutt JoshiZoological Survey of India, New Alipore, Kolkata, West Bengal, India.
Avijit GhoshZoological Survey of India, New Alipore, Kolkata, West Bengal, India.ORCID 0000-0001-8311-8650
Sujeet Kumar SinghZoological Survey of India, New Alipore, Kolkata, West Bengal, India.ORCID 0000-0002-3671-1328
Neha SinghSmithsonian Conservation Biology Institute, Front Royal, Virginia, United States of America.
Lalit Kumar SharmaZoological Survey of India, New Alipore, Kolkata, West Bengal, India.
Kailash ChandraZoological Survey of India, New Alipore, Kolkata, West Bengal, India.
Zoological Survey of India · INNational Forensic Sciences University · INSmithsonian Conservation Biology Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus 2019 (COVID-19) global pandemic has drastically affected the world economy, raised public anxiety, and placed a substantial psychological burden on the governments and healthcare professionals by affecting over 4.7 million people worldwide. As a preventive measure to minimise the risk of community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in India, a nationwide lockdown was imposed initially for 21 days to limit the movement of 1.3 billion people. These restrictions continue in most areas, with a conditional relaxation occurring in a few Indian states. In an attempt to assess the emerging mutants of SARS-CoV-2 and determine their spread in India, we analysed 112 complete genomes of SARS-CoV-2 in a time-lapse manner. We found 72 distinct SARS-CoV-2 haplotypes, defined by 143 polymorphic sites and high haplotype diversity, suggesting that this virus possesses a high evolutionary potential. We also demonstrated that early introduction of SARS-CoV-2 into India was from China, Italy and Iran and observed signs of community spread of the virus following its rapid demographic expansion since its first outbreak in the country. Additionally, we identified 18 mutations in the SARS-CoV-2 spike glycoprotein and a few selected mutations showed to increase stability, binding affinity, and molecular flexibility in the overall tertiary structure of the protein that may facilitate interaction between the receptor binding domain (RBD) of spike protein and the human angiotensin-converting enzyme 2 (ACE2) receptor. The study provides a pragmatic view of haplotype-dependent spread of SARS-CoV-2 in India which could be important in tailoring the pharmacologic treatments to be more effective for those infected with the most common haplotypes. The findings based on the time-lapse sentinel surveillance of SARS-CoV-2 will aid in the development of a real-time practical framework to tackle the ongoing, fast-evolving epidemic challenges in the country.

Indexed as

Sentinel SurveillanceAngiotensin-Converting Enzyme 2BetacoronavirusCoronavirus InfectionsCOVID-19Genome, ViralHaplotypesHumansIndiaMolecular Docking SimulationMutationPandemicsPeptidyl-Dipeptidase APhylogenyPneumonia, ViralPolymorphism, GeneticACE2 protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID33091066
PMCPMC7580942
OpenAlexW3094463555

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.