Evidence map›Paper›PMID 35405128›Full record

ArticleEnvironmental research2022

High altitude Relieves transmission risks of COVID-19 through meteorological and environmental factors: Evidence from China.

Peizhi Song, Huawen Han, Hanzhong Feng, Yun Hui, Tuoyu Zhou, Wenbo Meng, Jun Yan, Junfeng Li, Yitian Fang, Pu Liu and 2 more

Abstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  14. The environment, epidemics, and human health.Environmental research · 2022
    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

12 authors.

Peizhi SongGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China.
Huawen HanGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China.
Hanzhong FengGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China.
Yun HuiGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China.
Tuoyu ZhouGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China.
Wenbo MengKey Laboratory for Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, PR China.
Jun YanKey Laboratory for Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, PR China.
Junfeng LiKey Laboratory for Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, PR China.
Yitian FangState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Pu LiuKey Laboratory for Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, PR China.
Xun LiKey Laboratory for Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, PR China. Electronic address: lxdr21@126.com.
Xiangkai LiGansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Tianshui South Road #222, Lanzhou, Gansu, 730000, PR China. Electronic address: xkli@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing studies reported higher altitudes reduce the COVID-19 infection rate in the United States, Colombia, and Peru. However, the underlying reasons for this phenomenon remain unclear. In this study, regression analysis and mediating effect model were used in a combination to explore the altitudes relation with the pattern of transmission under their correlation factors. The preliminary linear regression analysis indicated a negative correlation between altitudes and COVID-19 infection in China. In contrast to environmental factors from low-altitude regions (<1500 m), high-altitude regions (>1500 m) exhibited lower PM2.5, average temperature (AT), and mobility, accompanied by high SO

Indexed as

COVID-19AltitudeChinaColombiaHumansMeteorological ConceptsMeteorologyAltitudeCOVID-19Environmental factorsMediating effect modelTransmission mechanism

Identifiers

PMID35405128
PMCPMC8993487

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.