Evidence map›Paper›PMID 33145119›Full record

ReviewFrontiers of environmental science & engineering2021

Understanding building-occupant-microbiome interactions toward healthy built environments: A review.

Shuai Li, Zhiyao Yang, Da Hu, Liu Cao, Qiang He

Abstract readReview
In one paragraph

Review in Frontiers of environmental science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

5 authors.

Shuai LiDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996 USA.
Zhiyao YangLyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907 USA.
Da HuDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996 USA.
Liu CaoDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996 USA.
Qiang HeDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Built environments, occupants, and microbiomes constitute a system of ecosystems with extensive interactions that impact one another. Understanding the interactions between these systems is essential to develop strategies for effective management of the built environment and its inhabitants to enhance public health and well-being. Numerous studies have been conducted to characterize the microbiomes of the built environment. This review summarizes current progress in understanding the interactions between attributes of built environments and occupant behaviors that shape the structure and dynamics of indoor microbial communities. In addition, this review also discusses the challenges and future research needs in the field of microbiomes of the built environment that necessitate research beyond the basic characterization of microbiomes in order to gain an understanding of the causal mechanisms between the built environment, occupants, and microbiomes, which will provide a knowledge base for the development of transformative intervention strategies toward healthy built environments. The pressing need to control the transmission of SARS-CoV-2 in indoor environments highlights the urgency and significance of understanding the complex interactions between the built environment, occupants, and microbiomes, which is the focus of this review.

Indexed as

Built EnvironmentHealthMicrobiomeOccupant

Identifiers

PMID33145119
PMCPMC7596174

What OpenQuestion holds

Textmetadata
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.