Evidence map›Paper›PMID 37274946›Full record

ArticleJournal of hazardous materials advances2023

Change in the air due to the coronavirus outbreak in four major cities of India: What do the statistics say?

Md Yeasin, Ranjit Kumar Paul, Sampa Das, Diganta Deka, Tanmoy Karak

Abstract read
In one paragraph

Article in Journal of hazardous materials advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Md YeasinICAR Indian Agricultural Statistics Research Institute, New Delhi 110012, India.
Ranjit Kumar PaulICAR Indian Agricultural Statistics Research Institute, New Delhi 110012, India.
Sampa DasDibrugarh Polytechnic, Lahowal, Dibrugarh 786010, Assam, India.
Diganta DekaUpper Assam Advisory Centre, Tea Research Association, Dikom, Dibrugarh, Assam 786101, India.
Tanmoy KarakUpper Assam Advisory Centre, Tea Research Association, Dikom, Dibrugarh, Assam 786101, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of the novel Coronavirus (COVID-19) has impacted all sectors of society. To avoid the rapid spread of this virus, the Government of India imposed a nationwide lockdown in four phases. Lockdown, due to COVID-19 pandemic, resulted a decline in pollution in India in general and in dense cities in particular. Data on key air quality indicators were collected, imputed, and compiled for the period 1st August 2018 to 31st May 2020 for India's four megacities, namely Delhi, Mumbai, Kolkata, and Hyderabad. Autoregressive integrated moving average (ARIMA) model and machine learning technique e.g. Artificial Neural Network (ANN) with the inclusion of lockdown dummy in both the models have been applied to examine the impact of anthropogenic activity on air quality parameters. The number of indicators having significant lockdown dummy are six (PM

Indexed as

Air qualityCOVID-19LockdownMachine learningModel accuracy

Identifiers

PMID37274946
PMCPMC10226293

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.