Evidence map›Paper›PMID 35992767›Full record

ArticleJournal of atmospheric chemistry2023

Temporary reduction in VOCs associated with health risk during and after COVID-19 in Maharashtra, India.

Bhupendra Pratap Singh, Saumya Kumari, Arathi Nair, Sweety Kumari, Saikh Mohammad Wabaidur, Ram Avtar, Shakilur Rahman

Abstract read
In one paragraph

Article in Journal of atmospheric chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Bhupendra Pratap SinghDelhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India.ORCID 0000-0002-0513-9082
Saumya KumariDelhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India.
Arathi NairDelhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India.
Sweety KumariDelhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India.
Saikh Mohammad WabaidurChemistry Department, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia.
Ram AvtarFaculty of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810 Japan.
Shakilur RahmanDepartment of Medical Elementology and Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus has affected almost all countries and impacted the economy, environment, and social life. The short-term impact on the environment and human health needs attention to correlate the Volatile organic compounds (VOCs) and health assessment for pre-, during, and post lockdowns. Therefore, the current study demonstrates VOC changes and their effect on air quality during the lockdown. The findings of result, the levels of the mean for total VOC concentrations were found to be 15.45 ± 21.07, 2.48 ± 1.61, 19.25 ± 28.91 µg/m Supplementary Information: The online version contains supplementary material available at 10.1007/s10874-022-09440-5.

Indexed as

Lifetime cancer riskLockdownT/B ratioTVOCs

Identifiers

PMID35992767
PMCPMC9382016

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.