Evidence map›Paper›PMID 33516954›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2021

COVID-19 driven changes in the air quality; a study of major cities in the Indian state of Uttar Pradesh.

Dipesh Kumar, Anil Kumar Singh, Vaibhav Kumar, R Poyoja, Ashok Ghosh, Bhaskar Singh

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Air pollution and post-COVID-19 work resumption: evidence from China.Environmental science and pollution research international · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. 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.

Dipesh KumarCentre for Energy, Indian Institute of Technology Guwahati, Assam, 781 039, India.
Anil Kumar SinghDeHaat, Agrevolution Pvt. Limited, Gurugram, Haryana, 122 001, India.
Vaibhav KumarCenter for Geoinformatics, Jamsetji Tata School of Disaster Studies, Tata Institute of Social Sciences, Mumbai, 400 088, India.
R PoyojaCentre for Nano Science and Engineering, Indian Institute of Science, Bangalore, 560 012, India.
Ashok GhoshBihar State Pollution Control Board, Patna, 800 010, India; Mahavir Cancer Institute and Research Center, Patna 801 505, India.
Bhaskar SinghDepartment of Environmental Sciences, Central University of Jharkhand, Ranchi, 835 205, India. Electronic address: bhaskar.singh@cuj.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid the COVID-19 pandemic, there has been an unprecedented cessation of outdoor anthropogenic activities leading to a significant improvement of the environment across the world. However, the positive impacts on the environment are not expected to last long as countries have started to gradually come out of lockdown and engage in aggressive measures to regain the pre-COVID-19 levels of economic activity. The present study provides for an assessment of air quality changes during the period of lockdown and unlocking across 9 major cities in the Indian state of Uttar Pradesh, including three cities (Ghaziabad, Noida, and Greater Noida) in the national capital region, which have frequently been included among the most polluted cities in the world. The pollutant load in a vertical column of air during March-July 2020 has been analyzed and compared with the corresponding period's pollution load in 2019. In addition, a detailed analysis of the ground-level changes in pollution load for Ghaziabad, Noida, and Greater Noida is also presented, along with the changes in local meteorology. A significant reduction in the total column density of NO

Indexed as

Air PollutantsAir PollutionCOVID-19CitiesCommunicable Disease ControlEnvironmental MonitoringHumansPandemicsParticulate MatterSARS-CoV-2Air PollutantsParticulate MatterAir quality indexCriteria pollutantMeteorologyNational capital regionParticulate matterSource apportionment

Identifiers

PMID33516954
PMCPMC7817480

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.