Evidence map›Paper›PMID 33519012›Full record

ArticleCities (London, England)2021

Asia's largest urban slum-Dharavi: A global model for management of COVID-19.

Jyotsna Kaushal, Pooja Mahajan

Abstract read
In one paragraph

Article in Cities (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

2 authors.

Jyotsna KaushalCenter for Water Sciences, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.
Pooja MahajanCenter for Water Sciences, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Dharavi sector of Mumbai, India is constituted as one of the biggest slums of Asia and the world's most populated areas. The COVID-19 outburst is at its peak in May and curve gets flattened within next two months. This article focuses on factors responsible for transmission, prevention and in controlling the COVID-19 spread in Dharavi. The COVID-19 data was interpreted in terms of Case Recovery Rate (CRR) and Case Fatality Rate (CFR) for total and closed both. The CFR per closed reached 10.12% nearly to per total 9.82% in Dharavi on 31st July 2020. The CRR per total cases in Dharavi and Mumbai is 87.16 & 76.18% and per closed cases is 89.87 & 93.20% respectively in comparison to the CFR. The calculated CFR and CRR for both Dharavi and Mumbai suggest that the COVID-19 recovery rate is more than the fatality rate. The Dharavi people serve as an important role in controlling the pandemic by adopting 4-T model tracing, tracking, testing, and treating strategy. This article is beneficial for government policy makers and private agencies in controlling the COVID-19 pandemic in densely populated areas and also for nations with high fatality rate.

Indexed as

CoronavirusCOVID-19PandemicUrban slum

Identifiers

PMID33519012
PMCPMC7832248

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.