Evidence map›Paper›PMID 32678740›Full record

ArticleEnvironmental research2020

The mediating effect of air quality on the association between human mobility and COVID-19 infection in China.

Yongjian Zhu, Jingui Xie, Fengming Huang, Liqing Cao

Abstract read
In one paragraph

Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Yongjian ZhuSchool of Management, University of Science and Technology of China, Hefei, China. Electronic address: ustczyj@mail.ustc.edu.cn.
Jingui XieSchool of Management, Technical University of Munich, Heilbronn, Germany. Electronic address: jingui.xie@tum.de.
Fengming HuangThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: 3234119867@qq.com.
Liqing CaoThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address: caoliqing@ustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have found that human mobility restrictions could not only prevent the spread of COVID-19, but also improve the air quality because of the reduction of industrial production, transportation and traffic. It is noteworthy that air quality is also closely related to the risk of COVID-19 infection. Therefore, we aimed to assess the mediating role of air quality on the association between human mobility and the infection caused by this novel coronavirus.

methodsWe collected daily confirmed cases, human mobility data, air quality data and meteorological variables in 120 cities from China between January 23, 2020 and February 29, 2020. We applied the generalized additive model to examine the association of human mobility index with COVID-19 confirmed cases, and to assess the mediating effects of air quality index and each pollutant.

resultsWe observed a significant positive relationship between human mobility index and the daily counts of COVID-19 confirmed cases. A unit increase in human mobility index (lag0-14) was associated with a 6.45% increase in daily COVID-19 confirmed cases, and air quality index significantly mediated 19.47% of this association. We also observed a positive relationship between human mobility index and air quality index. In the pollutant level analyses, we found significant mediating effects of PM

conclusionsOur study suggests that limiting human movements could reduce COVID-19 cases by improving air quality besides decreasing social contact.

Indexed as

Air PollutionTravelAir PollutantsBetacoronavirusChinaCitiesCoronavirus InfectionsCOVID-19HumansPandemicsParticulate MatterPneumonia, ViralSARS-CoV-2Air PollutantsParticulate MatterAir qualityCOVID-19Human mobilityMediating effectNovel coronavirus pneumonia

Identifiers

PMID32678740
PMCPMC7347332

What OpenQuestion holds

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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.