Evidence map›Paper›PMID 36164666›Full record

ArticleStochastic environmental research and risk assessment : research journal2023

Did unprecedented air pollution levels cause spike in Delhi's COVID cases during second wave?

Soma Sekhara Rao Kolluru, S M Shiva Nagendra, Aditya Kumar Patra, Sneha Gautam, V Dheeraj Alshetty, Prashant Kumar

Open access · bronzeAbstract read
In one paragraph

Article in Stochastic environmental research and risk assessment : research journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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 at 4 institutions in 3 countries.

Soma Sekhara Rao KolluruDepartment of Civil Engineering, Indian Institute of Technology Madras, Chennai, India.
S M Shiva NagendraDepartment of Civil Engineering, Indian Institute of Technology Madras, Chennai, India.
Aditya Kumar PatraDepartment of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India.
Sneha GautamDepartment of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.
V Dheeraj AlshettyDepartment of Civil Engineering, Indian Institute of Technology Madras, Chennai, India.
Prashant KumarGlobal Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH Surrey UK.
Indian Institute of Technology Madras · INIndian Institute of Technology Kharagpur · INKarunya University · INUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of the second wave of COVID-19 devastated many countries worldwide. Compared with the first wave, the second wave was more aggressive regarding infections and deaths. Numerous studies were conducted on the association of air pollutants and meteorological parameters during the first wave of COVID-19. However, little is known about their associations during the severe second wave of COVID-19. The present study is based on the air quality in Delhi during the second wave. Pollutant concentrations decreased during the lockdown period compared to pre-lockdown period (PM

Indexed as

Air pollutionCOVID-19LockdownMeteorological factorsNew DelhiSecond wave

Identifiers

PMID36164666
PMCPMC9493175
OpenAlexW4296617548

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.