Evidence map›Paper›PMID 36568743›Full record

ArticleFrontiers in public health2022

Designing for the post-pandemic era: Trends, focuses, and strategies learned from architectural competitions based on a text analysis.

Pei Han, Lingju Wang, Yufei Song, Xi Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Pei HanDepartment of Architecture, School of Architecture and Civil Engineering, Harbin University of Science and Technology, Harbin, China.
Lingju WangDepartment of Architecture, School of Architecture and Civil Engineering, Harbin University of Science and Technology, Harbin, China.
Yufei SongDepartment of Architecture, School of Architecture and Civil Engineering, Harbin University of Science and Technology, Harbin, China.
Xi ZhengDepartment of Architecture, School of Architecture and Civil Engineering, Harbin University of Science and Technology, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has made the built environment an important source of prevention and control, architects and scholars have thus been seeking countermeasures since the beginning of the outbreak. As design and construction cycles are long, only a few completed cases and evidence-based studies are available for reference. However, massive architectural competition works have emerged, which always been the soil for discussion and practice of cutting-edge design issues. These contain a vast number of ideas for solutions from various design dimensions-including cities, buildings, and facilities-and provide a great deal of materials worth analyzing and summarizing. Therefore, the exploration of competitions will provide us with public health intervention directions, strategies and a rethinking of the built environment. Using a text-mining approach, we analyzed 558 winning entries in architectural competitions related to the pandemic response, exploring specific issues, populations involved, coping strategies, and trends that emerged as the pandemic evolved. Our results show that the strategies proposed can be grouped into 17 keywords, with modularization being the most frequent strategy and related strategies like rapid assembly, flexible space, etc. are also took a significant percentage of the use. Further, we explored the technical orientation, year, territory, target groups, and target problems of the works which lead to a series of cross-comparison relationships. The results indicate that indirect impacts caused by the pandemic gained more attention and flexible Solutions were used more often highlighted the consensus when adapting to the uncertainties. The focus on the spiritual dimension is increasing year by year reflected the spiritual influences were gaining traction and the indirect impacts gradually showed up over time. The research will provide a strategy reference for the design response to the pandemic, as well as help understand the influence and significance of social factors behind the divergence of issue focuses and strategic tendency in different regions and times.

Indexed as

COVID-19Built EnvironmentHumansPandemicsPublic HealthUncertaintyarchitectural competitionsCOVID-19design strategiesdesign trendssocial focusesstatistical analysistext mining analysis

Identifiers

PMID36568743
PMCPMC9769710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.