Evidence map›Paper›PMID 38620919›Full record

ArticleEnvironmental challenges (Amsterdam, Netherlands)2021

COVID-19 second wave: District level study of concentration of confirmed cases and fatality in India.

Dr Debarshi Ghosh, Apurba Sarkar, Dr Pradip Chouhan

Open access · goldAbstract read
In one paragraph

Article in Environmental challenges (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

Dr Debarshi GhoshDepartment of Geography, Dhupguri Girl's College, PO. Dhupguri, Jalpaiguri, PIN-735210, WB, India.
Apurba SarkarDepartment of Geography, University of Gour Banga, Mokdumpur, Malda, West Bengal, India PIN-732103.
Dr Pradip ChouhanDepartment of Geography University of Gour-Banga, Malda, University of Gour Banga, Mokdumpur, Malda, West Bengal, India PIN-732103.
University of Gour Banga · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper aims to reveal the spatial pattern of the concentration of COVID-19 confirmed cases and the spread of the pandemic from the Case Fatality Ratio. The study has been accomplished with district-level data. The analysis of the spatial pattern decoding has been done considering the Global and Local Moran's I statistics comprising the linear trend of spatial autocorrelation for the whole India. The timeframe has been divided considering the surge of the second wave in March, 2021 and the peak of the wave in May 2021. The spatial clustering technique presents both the concentration of confirmed cases using Location Quotient analysis and the pattern of spread of the infection-related fatality throughout the country. The high Location Quotient of the confirmed cases strongly clustered around the Mumbai-Puna region, Kerala-Karnataka region, Garhwal Himachal, NCT of Delhi and Ladakh-Kashmir-Himachal Pradesh region during the period of the study. In May, the concentration has randomly clustered around the middle part of India. The Case Fatality Ratio was high in Maharashtra, Madhya Pradesh, Punjab and Haryana at the surge of the second wave. During the peak (May), two significant clusters of high Case Fatality Ratio are observed in and around the Mumbai urban (Maharashtra) and NCT of Delhi (including Punjab-Haryana).

Indexed as

Case Fatality RatioInfection mortality ratioLocation quotientMoran's I statisticsPandemicSpatial autocorrelation

Identifiers

PMID38620919
PMCPMC8305220
OpenAlexW3186692644

What OpenQuestion holds

Textmetadata
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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.