Evidence map›Paper›PMID 33744266›Full record

ArticleEnvironmental research2021

Association between air quality, meteorological factors and COVID-19 infection case numbers.

Jason Sam Leo Lorenzo, Wilson Wai San Tam, Wei Jie Seow

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  12. In the Seeking of Association between Air Pollutant and COVID-19 Confirmed Cases Using Deep Learning.International journal of environmental research and public health · 2022
    Article
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  19. PMEnvironmental research · 2021
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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

3 authors at 2 institutions in 1 country.

Jason Sam Leo LorenzoSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, 117549, Singapore.
Wilson Wai San TamAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, 117597, Singapore.
Wei Jie SeowSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, 117549, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 117597, Singapore. Electronic address: ephswj@nus.edu.sg.
National University of Singapore · SGNational University Health System · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) has become a global pandemic affecting many countries, including Singapore. Previous studies have investigated the relationship of air pollutant levels and meteorological factors with respiratory disease risk and hospital admission rates. However, associations between air pollutant concentrations and meteorological factors with COVID-19 infection have been equivocal. This study aimed to assess the association between core air pollutant concentrations, meteorological variables and daily confirmed COVID-19 case numbers in Singapore. Data on air pollutant levels (particulate matter [PM

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaHumansNitrogen DioxideParticulate MatterSARS-CoV-2Air PollutantsNitrogen DioxideParticulate MatterAir qualityCOVID-19Meteorological factors

Identifiers

PMID33744266
PMCPMC7968307
OpenAlexW3138452121

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.