Evidence map›Paper›PMID 36767307›Full record

ArticleInternational journal of environmental research and public health2023

The Relationship between the Transmission of Different SARS-CoV-2 Strains and Air Quality: A Case Study in China.

Ruiqing Ma, Yeyue Zhang, Yini Zhang, Xi Li, Zheng Ji

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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
–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

3 citing papers in PubMed.

  1. Article
  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

5 authors.

Ruiqing MaSchool of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
Yeyue ZhangSchool of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
Yini ZhangSchool of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
Xi LiSchool of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.
Zheng JiSchool of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0001-8689-0240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19) has been a global public health concern for almost three years, and the transmission characteristics vary among different virus variants. Previous studies have investigated the relationship between air pollutants and COVID-19 infection caused by the original strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, it is unclear whether individuals might be more susceptible to COVID-19 due to exposure to air pollutants, with the SARS-CoV-2 mutating faster and faster. This study aimed to explore the relationship between air pollutants and COVID-19 infection caused by three major SARS-CoV-2 strains (the original strain, Delta variant, and Omicron variant) in China. A generalized additive model was applied to investigate the associations of COVID-19 infection with six air pollutants (PM

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaHumansNitrogen DioxideParticulate MatterSARS-CoV-2Air PollutantsNitrogen DioxideParticulate Matterair pollutionCOVID-19generalized additive modelmeteorological factorsvirus variants

Identifiers

PMID36767307
PMCPMC9916065

What OpenQuestion holds

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LicenceCC BY
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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.