Evidence map›Paper›PMID 35564606›Full record

ArticleInternational journal of environmental research and public health2022

Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data.

Ru Wang, Lingbo Liu, Hao Wu, Zhenghong Peng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Analysis of COVID-19 Case Demographics and Disease Outcomes in Gary, Indiana.International journal of environmental research and public health · 2023
    Article
  2. 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

4 authors.

Ru WangDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China.
Lingbo LiuDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-9876-8506
Hao WuDepartment of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China.ORCID 0000-0001-7107-8081
Zhenghong PengDepartment of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the COVID-19 has become a worldwide public health challenge for contemporary cities during the background of globalization and planetary urbanization. However, spatial factors affecting the transmission of the disease in urban spaces remain unclear. Based on geotagged COVID-19 cases from social media data in the early stage of the pandemic, this study explored the correlation between different infectious outcomes of COVID-19 transmission and various factors of the urban environment in the main urban area of Wuhan, utilizing the multiple regression model. The result shows that most spatial factors were strongly correlated to case aggregation areas of COVID-19 in terms of population density, human mobility and environmental quality, which provides urban planners and administrators valuable insights for building healthy and safe cities in an uncertain future.

Indexed as

COVID-19Social MediaChinaCitiesHumansPandemicsSARS-CoV-2COVID-19 transmissionsocial media dataurban elementsurban planning

Identifiers

PMID35564606
PMCPMC9101567

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.