Evidence map›Paper›PMID 34611508›Full record

ArticleSustainable cities and society2022

Prediction and control of aerosol transmission of SARS-CoV-2 in ventilated context: from source to receptor.

Chunwen Xu, Wenbing Liu, Xilian Luo, Xingyu Huang, Peter V Nielsen

Abstract read
In one paragraph

Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Review
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  8. Article
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  11. Prevention and control of COVID-19 transmission in the indoor environment.Indoor + built environment : the journal of the International Society of the Built Environment · 2022
    Article
  12. 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.

Chunwen XuCollege of Pipeline and Civil Engineering, China University of Petroleum, Qingdao 266580, China.
Wenbing LiuCollege of Pipeline and Civil Engineering, China University of Petroleum, Qingdao 266580, China.
Xilian LuoSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Xingyu HuangSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Peter V NielsenDivision of Sustainability, Energy and Indoor Environment, Aalborg University, Aalborg 9000, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global spread of COVID-19 has seriously threatened human life and health. The aerosol transmission route of SARS-CoV-2 is observed often associated with infection clusters under poorly ventilated environment. In the context of COVID-19 pandemic, significant transformation and optimization of traditional ventilation systems are needed. This paper is aimed to offer better understanding and insights into effective ventilation design to maximize its ability in airborne risk control, for particularly the COVID-19. Comprehensive reviews of each phase of aerosol transmission of SARS-CoV-2 from source to receptor are conducted, so as to provide a theoretical basis for risk prediction and control. Infection risk models and their key parameters for risk assessment of SARS-CoV-2 are analyzed. Special focus is given on the efficacy of different ventilation strategies in mitigating airborne transmission. Ventilation interventions are found mainly impacting on the dispersion and inhalation phases of aerosol transmission. The airflow patterns become a key factor in controlling the aerosol diffusion and distribution. Novel and personalized ventilation design, effective integration with other environmental control techniques and resilient HVAC system design to adapt both common and epidemic conditions are still remaining challenging, which need to be solved with the aid of multidisciplinary research and intelligent technologies.

Indexed as

AerodynamicsAerosol transmissionHVACInfection risk modelSARS-CoV-2Ventilation

Identifiers

PMID34611508
PMCPMC8484231

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.