Evidence map›Paper›PMID 33087097›Full record

ArticleBMC public health2020

Airborne particulate matter, population mobility and COVID-19: a multi-city study in China.

Bo Wang, Jiangtao Liu, Yanlin Li, Shihua Fu, Xiaocheng Xu, Lanyu Li, Ji Zhou, Xingrong Liu, Xiaotao He, Jun Yan and 6 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 4 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

49 citing papers in PubMed, 4 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

16 authors.

Bo WangInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Jiangtao LiuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Yanlin LiInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Shihua FuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Xiaocheng XuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Lanyu LiInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Ji ZhouShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China.
Xingrong LiuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Xiaotao HeInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Jun YanDepartment of General Surgery, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Yanjun ShiInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Jingping NiuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Yong YangDivision of Social and Behavioral Sciences, School of Public Health, University of Memphis, Memphis, TN, 38152, USA.
Yiyao LiDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Bin LuoInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China. luob@lzu.edu.cn.ORCID http://orcid.org/0000-0001-9324-8942
Kai ZhangDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

Funding

Fundamental Research Funds for the Central Universities lzujbky-2020-sp21National Natural Science Foundation of China 4187050043
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is an emerging infectious disease, which has caused numerous deaths and health problems worldwide. This study aims to examine the effects of airborne particulate matter (PM) pollution and population mobility on COVID-19 across China.

methodsWe obtained daily confirmed cases of COVID-19, air particulate matter (PM

resultsWe found each 1 unit increase in daily MSI was significantly positively associated with daily confirmed cases of COVID-19 in all lag days and the strongest estimated RR (1.21, 95% CIs:1.14 ~ 1.28) was observed at lag 014. In PM analysis, we found each 10 μg/m

conclusionsPopulation mobility and airborne particulate matter may be associated with an increased risk of COVID-19 transmission.

Indexed as

ChinaCitiesCoronavirus InfectionsCOVID-19HumansPandemicsParticulate MatterPneumonia, ViralPopulation DynamicsRisk AssessmentParticulate MatterCOVID-19Generalized additive modelsParticulate matterPopulation mobility

Identifiers

PMID33087097
PMCPMC7576551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.