Evidence map›Paper›PMID 32711328›Full record

ArticleThe Science of the total environment2020

The spread of 2019-nCoV in China was primarily driven by population density. Comment on "Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China" by Zhu et al.

Sergio Copiello, Carlo Grillenzoni

Abstract readLetter
In one paragraph

Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  17. Multiple relationships between aerosol and COVID-19: A framework for global studies.Gondwana research : international geoscience journal · 2021
    Article
  18. Economic Role of Population Density during Pandemics-A Comparative Analysis of Saudi Arabia and China.International journal of environmental research and public health · 2021
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  19. Article
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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

2 authors.

Sergio CopielloIUAV University of Venice, Dorsoduro 2206, 30123 Venice, Italy. Electronic address: sergio.copiello@iuav.it.
Carlo GrillenzoniIUAV University of Venice, Dorsoduro 2206, 30123 Venice, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, an article published in the journal Science of the Total Environment and authored by Zhu et al. has claimed the "Association between short-term exposure to air pollution and COVID-19 infection" (doi: https://doi.org/10.1016/j.scitotenv.2020.138704). This note shows that the stated dependence between the diffusion of the infection and air pollution may be the result of spurious correlation due to the omission of a common factor, namely, population density. To this end, the relationship between demographic, socio-economic, and environmental conditions and the spread of the novel coronavirus in China is analyzed with spatial regression models on variables deflated by population size. The infection rate - as measured by the number of cases per 100 thousand inhabitants - is found to be strongly related to the population density. At the same time, the association with air pollution is detected with a negative sign, which is difficult to interpret.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralAir PollutantsAir PollutionBetacoronavirusChinaCOVID-19HumansPopulation DensitySARS-CoV-2Air Pollutants2019-nCoVAir pollutionCOVID-19DemographyNovel coronavirusPopulation density

Identifiers

PMID32711328
PMCPMC7365069

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.