Evidence map›Paper›PMID 36744047›Full record

ArticleNational Academy science letters. National Academy of Sciences, India2023

Novel Statistical Investigation for COVID-19 Community Response.

Soutrik Bose

Abstract readNews
In one paragraph

Article in National Academy science letters. National Academy of Sciences, India, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Soutrik BoseDepartment of Mechanical Engineering, MCKV Institute of Engineering, 243 G.T. Road (N), Liluah, Howrah, West Bengal 711204 India.ORCID 0000-0002-5583-215X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus (COVID-19) that highly affected the mortality rate on the global health crisis emerged to be a pandemic from November 19. COVID-19 is known as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was initially originated from bats and was transmitted to humans through unknown intermediary animals. The disease is transmitted by inhalation or contact with infected droplets, and the incubation period ranges till fourteen days. This paper presents a statistical investigation based on grey relational analysis on the four response criteria like confirmed cases, active cases, recovered cases and death cases from pre-lock down, lock down and unlock for different countries and all the states of India. Optimized results and ranking is calculated on the overall responses, and best selection is obtained.

Indexed as

COVID-19Grey relational analysisOptimizationSocial distancing

Identifiers

PMID36744047
PMCPMC9883124

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.