Evidence map›Paper›PMID 34300014›Full record

ArticleInternational journal of environmental research and public health2021

Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan.

Qiang Niu, Wanxian Wu, Jie Shen, Jiaxin Huang, Qiling Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

5 authors.

Qiang NiuSchool of Urban Design, Wuhan University, Wuhan 430072, China.
Wanxian WuSchool of Urban Design, Wuhan University, Wuhan 430072, China.
Jie ShenSchool of Urban Construction, Wuhan University of Science and Technology, Wuhan 430072, China.ORCID 0000-0003-3442-8913
Jiaxin HuangSchool of Urban Construction, Wuhan University of Science and Technology, Wuhan 430072, China.ORCID 0000-0002-5890-4710
Qiling ZhouSchool of Foreign Languages and Cultures, Chongqing University, Chongqing 400044, China.ORCID 0000-0003-0506-7696

Funding

National Natural Science Foundation of China 51308422
6 · The paper itself

Abstract

The outbreak of COVID-19 (coronavirus disease 2019) has become the focus of attention in the field of urban geography. Built environment, such as the layout of public spaces like transportation hubs and urban open spaces, is an important factor affecting the spread of the epidemic. However, due to the different behavior patterns of different age groups, the intensity and frequency of their use of various built environment spaces may vary. Based on this, we selected patients that were infected, with a non-manipulated time period, and the classification of human behavior patterns; we then conducted a regression analysis study on the spatial distribution and building environment of these COVID-19 patients. The results showed that the spatial distribution of young and middle-aged patients (18-59 years old) was more homogeneous, while the spatial distribution of elderly patients (60 years old and above) had a strong clustering characteristic. Moreover, the significant built environment factors exhibited in the two populations were extremely different. More diverse urban facilities and public spaces exhibited influential properties for older patients, while middle-aged and young adults were more influenced by commuting facilities. It can be said that the built environment shows different influences and mechanisms on the transmission of respiratory infectious diseases in different populations. Therefore, the results of this paper can inform decision makers who expect to reduce the occurrence of urban respiratory infectious diseases by improving the urban built environment.

Indexed as

Built EnvironmentCOVID-19AdolescentAdultAgedEnvironmentEnvironment DesignHumansMiddle AgedSARS-CoV-2TransportationYoung Adultbuilt environmentCOVID-19elderlyWuhanyoung and middle-aged

Identifiers

PMID34300014
PMCPMC8307935

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Registered trials

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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.