Evidence map›Paper›PMID 34766042›Full record

ReviewSensors international2020

Study and overview of the novel corona virus disease (COVID-19).

Krishna Mohan Agarwal, Swati Mohapatra, Prairit Sharma, Shreya Sharma, Dinesh Bhatia, Animesh Mishra

Abstract readReview
In one paragraph

Review in Sensors international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Review
  8. Review
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  11. Article
  12. Review
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  15. Article
  16. Sensors international · 2021
    Article
  17. Article
  18. 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

6 authors.

Krishna Mohan AgarwalMechanical Engineering Department, Amity University Uttar Pradesh, Noida, 201301, India.
Swati MohapatraDepartment of Microbial Technology, Amity University Uttar Pradesh, Noida, 201301, India.
Prairit SharmaMechanical Engineering Department, Amity University Uttar Pradesh, Noida, 201301, India.
Shreya SharmaDepartment of Biotechnology, Amity University Uttar Pradesh, Noida, 201301, India.
Dinesh BhatiaDepartment of Biomedical Engineering, North Eastern Hill University, Shillong, 793022, Meghalaya, India.
Animesh MishraDepartment of Cardiology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018, Meghalaya, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In December 2019, a new disease with pneumonia-like symptoms was spreading throughout Wuhan in China which was entitled as novel coronavirus disease or COVID -19 caused by the virus SARS CoV-2. Within a span of a few days, this disease became a global threat and was termed as a pandemic by the World Health Organization (WHO) on March 11, 2020, since then the disease has affected more than 1.5 crore people worldwide and around 6.9 lakh people in India as of July 5, 2020. The origin of the COVID-19 disease has been traced back to the bats, but the intermediary contact is unknown. The disease spreads by respiratory droplets and contaminated surfaces. In most cases, the virus shows mild symptoms like fever, fatigue, dyspnea, cough, etc. which may become severe if appropriate precautions are not adhered to. For people with comorbidities (usually elderly) the disease may turn deadly and cause pneumonia, Acute Respiratory Disease Syndrome (ARDS), and multi-organ failure, thereby affecting a person's ability to breathe leading to being put on the ventilator support. The reproduction number (Rℴ) of COVID-19 is much higher than its predecessors and genetically similar diseases like SARS-CoV and MERS-CoV. This paper discusses the epidemiological characteristics of the SARS-CoV-2 virus, its phylogenetic relationship with the previous pandemic causing viruses such as SARS-CoV-1 and MERS-CoV and analyzes the various responses to this global pandemic worldwide, focusing on the actions taken by India and their outcomes.

Indexed as

CoronavirusCOVID-19EpidemiologyWuhan

Identifiers

PMID34766042
PMCPMC7474965

What OpenQuestion holds

Textmetadata
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.