Evidence map›Paper›PMID 36424424›Full record

ArticleJournal of exposure science & environmental epidemiology2023

A novel VOC breath tracer method to evaluate indoor respiratory exposures in the near- and far-fields; implications for the spread of respiratory viruses.

Hooman Parhizkar, Mark Fretz, Aurélie Laguerre, Jason Stenson, Richard L Corsi, Kevin G Van Den Wymelenberg, Elliott T Gall

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. 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
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Hooman ParhizkarInstitute for Health and the Built Environment, University of Oregon, Portland, OR, 97209, USA.
Mark FretzInstitute for Health and the Built Environment, University of Oregon, Portland, OR, 97209, USA.
Aurélie LaguerreDepartment of Mechanical and Materials Engineering, Portland State University, Portland, OR, 97201, USA.
Jason StensonInstitute for Health and the Built Environment, University of Oregon, Portland, OR, 97209, USA.
Richard L CorsiDepartment of Civil and Environmental Engineering, University of California, Davis, Davis, CA, 95616, USA.
Kevin G Van Den WymelenbergInstitute for Health and the Built Environment, University of Oregon, Portland, OR, 97209, USA. kevinvdw@uoregon.edu.
Elliott T GallDepartment of Mechanical and Materials Engineering, Portland State University, Portland, OR, 97201, USA.
University of Oregon · USPortland State University · USUniversity of California, Davis · US

Funding

Zebrafish Biomedical Research Facility CoreP30ES030287 · NIEHS · OREGON STATE UNIVERSITY · PI Jamie DeWitt · 2020 to 2026
$9.8M
NIEHS NIH HHS P30 ES030287
6 · The paper itself

Abstract

backgroundSeveral studies suggest that far-field transmission (>6 ft) explains a significant number of COVID-19 superspreading outbreaks.

objectiveTherefore, quantifying the ratio of near- and far-field exposure to emissions from a source is key to better understanding human-to-human airborne infectious disease transmission and associated risks.

methodsIn this study, we used an environmentally-controlled chamber to measure volatile organic compounds (VOCs) released from a healthy participant who consumed breath mints, which contained unique tracer compounds. Tracer measurements were made at 0.76 m (2.5 ft), 1.52 m (5 ft), 2.28 m (7.5 ft) from the participant, as well as in the exhaust plenum of the chamber.

resultsWe observed that 0.76 m (2.5 ft) trials had ~36-44% higher concentrations than other distances during the first 20 minutes of experiments, highlighting the importance of the near-field exposure relative to the far-field before virus-laden respiratory aerosol plumes are continuously mixed into the far-field. However, for the conditions studied, the concentrations of human-sourced tracers after 20 minutes and approaching the end of the 60-minute trials at 0.76 m, 1.52 m, and 2.28 m were only ~18%, ~11%, and ~7.5% higher than volume-averaged concentrations, respectively. SIGNIFICANCE: This study suggests that for rooms with similar airflow parameters disease transmission risk is dominated by near-field exposures for shorter event durations (e.g., initial 20-25-minutes of event) whereas far-field exposures are critical throughout the entire event and are increasingly more important for longer event durations. IMPACT STATEMENT: We offer a novel methodology for studying the fate and transport of airborne bioaerosols in indoor spaces using VOCs as unique proxies for bioaerosols. We provide evidence that real-time measurement of VOCs can be applied in settings with human subjects to estimate the concentration of bioaerosol at different distances from the emitter. We also improve upon the conventional assumption that a well-mixed room exhibits instantaneous and perfect mixing by addressing spatial distances and mixing over time. We quantitatively assessed the exposure levels to breath tracers at alternate distances and provided more insights into the changes on "near-field to far-field" ratios over time. This method can be used in future to estimate the benefits of alternate environmental conditions and occupant behaviors.

Indexed as

Air PollutantsAir Pollution, IndoorDisease Transmission, InfectiousAerosolsBreath TestsVolatile Organic CompoundsAerosolsAir PollutantsVolatile Organic CompoundsBioaerosolCOVID-19Healthy buildingsInfectious diseasePTR-ToF-MSRisk

Identifiers

PMID36424424
PMCPMC9686220
OpenAlexW4309912483

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.