Evidence map›Paper›PMID 34300011›Full record

ReviewInternational journal of environmental research and public health2021

Review of Associations between Built Environment Characteristics and Severe Acute Respiratory Syndrome Coronavirus 2 Infection Risk.

Jingjing Wang, Xueying Wu, Ruoyu Wang, Dongsheng He, Dongying Li, Linchuan Yang, Yiyang Yang, Yi Lu

Abstract readReview
In one paragraph

Review 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Urban resilience to socioeconomic disruptions during the COVID-19 pandemic: Evidence from China.International journal of disaster risk reduction : IJDRR · 2023
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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

8 authors.

Jingjing WangDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China.
Xueying WuDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China.
Ruoyu WangInstitute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh EH8 9XP, UK.
Dongsheng HeDepartment of Architecture, University of Cambridge, Cambridge CB2 1PX, UK.
Dongying LiDepartment of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-2273-8079
Linchuan YangDepartment of Urban and Rural Planning, Southwest Jiaotong University, Chengdu 610031, China.ORCID 0000-0001-6070-9044
Yiyang YangDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China.
Yi LuDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China.ORCID 0000-0001-7614-6661

Funding

National Natural Science Foundation of China 51778552the Research Grants Council of the Hong Kong SAR CityU11207520
6 · The paper itself

Abstract

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic and demographic characteristics, climatology, baseline health conditions or pre-existing diseases, and government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the transmission mechanism and infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no review has been conducted to explore the effect of built environment characteristics on the infection risk. This research gap prevents government officials and urban planners from creating effective urban design guidelines to contain SARS-CoV-2 infections and face future pandemic challenges. This review summarizes evidence from 25 empirical studies and provides an overview of the effect of built environment on SARS-CoV-2 infection risk. Virus infection risk was positively associated with the density of commercial facilities, roads, and schools and with public transit accessibility, whereas it was negatively associated with the availability of green spaces. This review recommends several directions for future studies, namely using longitudinal research design and individual-level data, considering multilevel factors and extending to diversified geographic areas.

Indexed as

COVID-19SARS-CoV-2Built EnvironmentHumansPandemicsSchoolsbuilt environmentCOVID-19SARS-CoV-2

Identifiers

PMID34300011
PMCPMC8305984

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.