Evidence map›Paper›PMID 33163331›Full record

ArticleSustainable cities and society2021

Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India.

Arijit Das, Sasanka Ghosh, Kalikinkar Das, Tirthankar Basu, Ipsita Dutta, Manob Das

Open access · greenAbstract read
In one paragraph

Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
10.1field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
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  3. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
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  14. The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain).Journal of urban health : bulletin of the New York Academy of Medicine · 2023
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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

6 authors at 2 institutions in 1 country.

Arijit DasDepartment of Geography, University of Gour Banga, Malda, India.
Sasanka GhoshDepartment of Geography, Kazi Nazrul University, Asansol, India.
Kalikinkar DasDepartment of Geography, University of Gour Banga, Malda, India.
Tirthankar BasuDepartment of Geography, University of Gour Banga, Malda, India.
Ipsita DuttaDepartment of Geography, University of Gour Banga, Malda, India.
Manob DasDepartment of Geography, University of Gour Banga, Malda, India.
University of Gour Banga · INKazi Nazrul University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of COVID-19 has brought a serious global public health threats especially for most of the cities across the world even in India more than 50 % of the total cases were reported from large ten cities. Kolkata Megacity became one of the major COVID-19 hotspot cities in India. Living environment deprivation is one of the significant risk factor of infectious diseases transmissions like COVID-19. The paper aims to examine the impact of living environment deprivation on COVID-19 hotspot in Kolkata megacity. COVID-19 hotspot maps were prepared using Getis-Ord-Gi* statistic and index of multiple deprivations (IMD) across the wards were assessed using Geographically Weighted Principal Component Analysis (GWPCA).Five count data regression models such as Poisson regression (PR), negative binomial regression (NBR), hurdle regression (HR), zero-inflated Poisson regression (ZIPR), and zero-inflated negative binomial regression (ZINBR) were used to understand the impact of living environment deprivation on COVID-19 hotspot in Kolkata megacity. The findings of the study revealed that living environment deprivation was an important determinant of spatial clustering of COVID-19 hotspots in Kolkata megacity and zero-inflated negative binomial regression (ZINBR) better explains this relationship with highest variations (adj. R2: 71.3 %) and lowest BIC and AIC as compared to the others.

Indexed as

Containment zoneCOVID-19Kolkata megacityLiving environment deprivationZero-inflated negative binomial regression

Identifiers

PMID33163331
PMCPMC7604127
OpenAlexW3097239672

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.