Evidence map›Paper›PMID 33642665›Full record

ArticleGeoJournal2022

Geographical Appraisal of COVID-19 in West Bengal, India.

Biplab Biswas, Rabindranath Roy, Tanusri Roy, Sumanta Chowdhury, Asish Dhara, Kamonasish Mistry

Abstract read
In one paragraph

Article in GeoJournal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

6 authors.

Biplab BiswasDepartment of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.ORCID 0000-0003-1134-8750
Rabindranath RoyDepartment of Community Medicine, Burdwan Medical College and Hospital, Burdwan, 713104 India.ORCID 0000-0002-8546-9005
Tanusri RoyDepartment of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.ORCID 0000-0001-6713-0123
Sumanta ChowdhuryDepartment of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.ORCID 0000-0002-3529-9976
Asish DharaDepartment of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.ORCID 0000-0002-0525-7986
Kamonasish MistryDepartment of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 703104 India.ORCID 0000-0001-7505-5506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study shows that COVID-19 cases, deaths and recoveries vary in macro level. Geographical phenomena may act as potential controlling factor. The present paper investigates spatial pattern of COVID-19 cases and deaths in West Bengal (WB), India and assumes Kolkata is the source region of this disease in WB. Thematic maps on COVID related issues are prepared with the help of QGIS 3.10 software. As on 15th January 2021, WB has 564032 number of COVID-19 cases which is 0.618% to the total population of the state. However, the COVID-19 case for India is 0.843% and for world is 1.341% to its total population. Lorenz Curve shows skewed distribution of the COVID-19 cases in WB. 17 (90%) districts hold 84.11% of the total population and carry 56.30% of the total COVID-19 cases. However, the remaining two districts-Kolkata and North 24 Parganas-hold remaining 43.70% COVID-19 cases. Correlation coefficient with COVID-19 cases and Population Density, Urban Population and Concrete Roof of their house are significant at 1% level of significance.

Indexed as

COVID-19ForestGeographical factorNonworking populationPopulation densityUrbanizationWest bengal

Identifiers

PMID33642665
PMCPMC7899073

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.