Evidence map›Paper›PMID 35276107›Full record

ArticleChemosphere2022

Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital.

Gufran Beig, K S Jayachandran, M P George, Aditi Rathod, S B Sobhana, S K Sahu, R Shinde, V Jindal

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemosphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 6 institutions in 1 country.

Gufran BeigNational Institute of Advanced Science, IISc Campus, Bangalore, 560012, India. Electronic address: beig@nias.res.in.
K S JayachandranDelhi Pollution Control Committee (DPCC), Govt. of Delhi, New Delhi, India.
M P GeorgeDelhi Pollution Control Committee (DPCC), Govt. of Delhi, New Delhi, India.
Aditi RathodIndian Institute of Tropical Meteorology (Ministry of Earth Sciences), Pune, 411021, India.
S B SobhanaIndian Institute of Tropical Meteorology (Ministry of Earth Sciences), Pune, 411021, India.
S K SahuUtkal University, Bhubaneswar, India.
R ShindeIndian Institute of Tropical Meteorology (Ministry of Earth Sciences), Pune, 411021, India.
V JindalIndraprastha Institute of Information Technology, Delhi, India.
Central Pollution Control Board · INIndian Institute of Tropical Meteorology · INIndraprastha Institute of Information Technology Delhi · INMinistry of Earth Sciences · INNational Institute of Advanced Studies · INUtkal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world's worst outbreak, the second COVID-19 wave, not only unleashed unprecedented devastation of human life, but also made an impact of lockdown in the Indian capital, New Delhi, in particulate matter (PM: PM

Indexed as

Air PollutantsAir PollutionCOVID-19CitiesCommunicable Disease ControlDustEnvironmental MonitoringHumansParticulate MatterSARS-CoV-2Air PollutantsDustParticulate MatterCOVID-19EmissionsLockdownParticulate matterSAFARWRF-Chem

Identifiers

PMID35276107
PMCPMC8903175
OpenAlexW4220659104

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.