Evidence map›Paper›PMID 33223600›Full record

ArticleAerobiologia2021

COVID-19 lockdown: a boon in boosting the air quality of major Indian Metropolitan Cities.

Devendra Singh Rathore, Chirmaie Nagda, Bhavya Singh Shaktawat, Tanushree Kain, Chandrapal Singh Chouhan, Rakeshwar Purohit, Harish, Rama Kanwar Khangarot, Girima Nagda, Lalit Singh Jhala

Abstract read
In one paragraph

Article in Aerobiologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Devendra Singh RathoreDepartment of Environmental Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.ORCID 0000-0003-0999-7604
Chirmaie NagdaDepartment of Zoology, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Bhavya Singh ShaktawatDepartment of Environmental Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Tanushree KainDepartment of Environmental Sciences, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Chandrapal Singh ChouhanDepartment of Mathematics and Statistics, Bhupal Nobles' University, Udaipur, Rajasthan 313001 India.
Rakeshwar PurohitDepartment of Mathematics and Statistics, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
HarishDepartment of Botany, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Rama Kanwar KhangarotDepartment of Chemistry, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Girima NagdaDepartment of Zoology, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001 India.
Lalit Singh JhalaDepartment of Geography, Jai Narain Vyas University, Jodhpur, Rajasthan 342011 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThe COVID-19 lockdown has not only helped in combating the community transmission of SARS-CoV-2 but also improved air quality in a very emphatic manner in most of the countries. In India, the first phase of COVID-19 lockdown came into force on March 25, 2020, which was later continued in the next phases. The purpose of this study was to investigate the result of lockdown on air quality of major metropolitan cities-Delhi, Mumbai, Kolkata, Chennai, Bengaluru, Hyderabad, Jaipur, and Lucknow-from March 25 to May 3, 2020. For this study, the concentration of six criteria air pollutants (PM GRAPHIC ABSTRACT:

Indexed as

Air quality indexCOVID-19Criteria pollutantsLockdownMetropolitan citiesProminent pollutant

Identifiers

PMID33223600
PMCPMC7671670

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.