Evidence map›Paper›PMID 35317468›Full record

ArticleGeoHealth2022

Novel Evidence Showing the Possible Effect of Environmental Variables on COVID-19 Spread.

Sixuan Zhang, Bingyun Wang, Li Yin, Shigong Wang, Wendong Hu, Xueqian Song, Hongmei Feng

Abstract read
In one paragraph

Article in GeoHealth, 2022. 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

7 authors.

Sixuan ZhangCollege of Atmospheric Science Chengdu University of Information Technology Chengdu China.
Bingyun WangCollege of Atmospheric Science Chengdu University of Information Technology Chengdu China.ORCID https://orcid.org/0000-0001-7678-6976
Li YinPanzhihua Central Hospital Panzhihua China.
Shigong WangCollege of Atmospheric Science Chengdu University of Information Technology Chengdu China.
Wendong HuCollege of Atmospheric Science Chengdu University of Information Technology Chengdu China.
Xueqian SongCollege of Management Chengdu University of Information Technology Chengdu China.ORCID https://orcid.org/0000-0002-7068-7747
Hongmei FengCollege of Atmospheric Science Chengdu University of Information Technology Chengdu China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) remains a serious issue, and the role played by meteorological indicators in the process of virus spread has been a topic of academic discussion. Previous studies reached different conclusions due to inconsistent methods, disparate meteorological indicators, and specific time periods or regions. This manuscript is based on seven daily meteorological indicators in the NCEP reanalysis data set and COVID-19 data repository of Johns Hopkins University from 22 January 2020 to 1 June 2021. Results showed that worldwide average temperature and precipitable water (PW) had the strongest correlation (

Indexed as

climatecorrelationCOVID‐19latitudemeteorological indicators

Identifiers

PMID35317468
PMCPMC8923516

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.