Literature DB >> 34300011

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

Jingjing Wang1,2, Xueying Wu1, Ruoyu Wang3, Dongsheng He4, Dongying Li5, Linchuan Yang6, Yiyang Yang1, Yi Lu1,7.   

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.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; built environment

Year:  2021        PMID: 34300011     DOI: 10.3390/ijerph18147561

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  8 in total

1.  Tracing the Trends of General Construction and Demolition Waste Research Using LDA Modeling Combined With Topic Intensity.

Authors:  Zezhou Wu; Peiying Xie; Jinming Zhang; Baojian Zhan; Qiufeng He
Journal:  Front Public Health       Date:  2022-05-25

2.  A spatial-temporal analysis at the early stages of the COVID-19 pandemic and its determinants: The case of Recife neighborhoods, Brazil.

Authors:  Arthur Pimentel Gomes de Souza; Caroline Maria de Miranda Mota; Amanda Gadelha Ferreira Rosa; Ciro José Jardim de Figueiredo; Ana Lúcia Bezerra Candeias
Journal:  PLoS One       Date:  2022-05-17       Impact factor: 3.752

3.  Geographies of infections: built environment and COVID-19 pandemic in metropolitan Melbourne.

Authors:  Eric Gaisie; Nana Yaw Oppong-Yeboah; Patrick Brandful Cobbinah
Journal:  Sustain Cities Soc       Date:  2022-03-11       Impact factor: 10.696

4.  Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Authors:  Yue Gong; Guochang Zhao
Journal:  PLoS One       Date:  2022-05-10       Impact factor: 3.240

5.  Population-weighted exposure to green spaces tied to lower COVID-19 mortality rates: A nationwide dose-response study in the USA.

Authors:  Yuwen Yang; Yi Lu; Bin Jiang
Journal:  Sci Total Environ       Date:  2022-08-28       Impact factor: 10.753

6.  Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States.

Authors:  Bin Jiang; Yuwen Yang; Long Chen; Xueming Liu; Xueying Wu; Bin Chen; Chris Webster; William C Sullivan; Linda Larsen; Jingjing Wang; Yi Lu
Journal:  Landsc Urban Plan       Date:  2022-09-20       Impact factor: 8.119

7.  An overview and thematic analysis of research on cities and the COVID-19 pandemic: Toward just, resilient, and sustainable urban planning and design.

Authors:  Ayyoob Sharifi
Journal:  iScience       Date:  2022-10-07

Review 8.  Parks and the Pandemic: A Scoping Review of Research on Green Infrastructure Use and Health Outcomes during COVID-19.

Authors:  Megan Heckert; Amanda Bristowe
Journal:  Int J Environ Res Public Health       Date:  2021-12-11       Impact factor: 3.390

  8 in total

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