Evidence map›Paper›PMID 35007574›Full record

ArticleThe Science of the total environment2022

Passively sensing SARS-CoV-2 RNA in public transit buses.

Jason S Hoffman, Matthew Hirano, Nuttada Panpradist, Joseph Breda, Parker Ruth, Yuanyi Xu, Jonathan Lester, Bichlien H Nguyen, Luis Ceze, Shwetak N Patel

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Jason S HoffmanPaul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA. Electronic address: jasonhof@cs.washington.edu.
Matthew HiranoDepartment of Electrical and Computer Engineering, University of Washington, 185 Stevens Way, Seattle 98195, WA, USA.
Nuttada PanpradistDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle 98105, WA, USA.
Joseph BredaPaul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA.
Parker RuthPaul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA; Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle 98105, WA, USA.
Yuanyi XuDepartment of Microbiology, University of Washington, 1705 NE Pacific St, Seattle 98195, WA, USA; Department of Chemistry, University of Washington, 4000 15th Ave NE, Seattle 98195, WA, USA.
Jonathan LesterMicrosoft Research, 14820 NE 36th St, Redmond 98052, WA, USA.
Bichlien H NguyenMicrosoft Research, 14820 NE 36th St, Redmond 98052, WA, USA.
Luis CezePaul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA.
Shwetak N PatelPaul G. Allen School of Computer Science and Engineering, University of Washington, 185 E. Stevens Way NE, Seattle 98195, WA, USA; Department of Electrical and Computer Engineering, University of Washington, 185 Stevens Way, Seattle 98195, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affordably tracking the transmission of respiratory infectious diseases in urban transport infrastructures can inform individuals about potential exposure to diseases and guide public policymakers to prepare timely responses based on geographical transmission in different areas in the city. Towards that end, we designed and tested a method to detect SARS-CoV-2 RNA in the air filters of public buses, revealing that air filters could be used as passive fabric sensors for the detection of viral presence. We placed and retrieved filters in the existing HVAC systems of public buses to test for the presence of trapped SARS-CoV-2 RNA using phenol-chloroform extraction and RT-qPCR. SARS-CoV-2 RNA was detected in 14% (5/37) of public bus filters tested in Seattle, Washington, from August 2020 to March 2021. These results indicate that this sensing system is feasible and that, if scaled, this method could provide a unique lens into the geographically relevant transmission of SARS-CoV-2 through public transit rider vectors, pooling samples of riders over time in a passive manner without installing any additional systems on transit vehicles.

Indexed as

Motor VehiclesSARS-CoV-2TransportationCOVID-19Environmental MonitoringHumansRNA, ViralWashingtonRNA, ViralAssay methodCoronavirusEnvironmental monitoringFabric sensorsPassive viral detection

Identifiers

PMID35007574
PMCPMC8741327

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.