Evidence map›Paper›PMID 36433523›Full record

ArticleSensors (Basel, Switzerland)2022

Low-Cost UVBot Using SLAM to Mitigate the Spread of Noroviruses in Occupational Spaces.

Fanxin Wang, Harris Junaid Nisar, Yao Li, Elbashir Araud, Thanh H Nguyen, Thenkurussi Kesavadas

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Fanxin WangHealth Care Engineering Systems Center, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA.ORCID 0000-0002-3935-7205
Harris Junaid NisarHealth Care Engineering Systems Center, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA.
Yao LiDepartment of Mathematics, Harbin Institute of Technology, Haerbin 150001, China.ORCID 0000-0002-1754-4528
Elbashir AraudHolonyak Micro & Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA.ORCID 0000-0002-9314-2408
Thanh H NguyenInstitute of Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA.
Thenkurussi KesavadasResearch and Economic Development, University at Albany-State University of New York, Albany, NY 12222, USA.

Funding

Jump ARCHES program Jump ARCHES program
6 · The paper itself

Abstract

Noroviruses (NoVs) cause over 90% of non-bacterial gastroenteritis outbreaks in adults and children in developed countries. Therefore, there is a need for approaches to mitigate the transmission of noroviruses in workplaces to reduce their substantial health burden. We developed and validated a low-cost, autonomous robot called the UVBot to disinfect occupational spaces using ultraviolet (UV) lamps. The total cost of the UVBOT is less than USD 1000, which is much lower than existing commercial robots that cost as much as USD 35,000. The user-friendly desktop application allows users to control the robot remotely, check the disinfection map, and add virtual walls to the map. A 2D LiDAR and a simultaneous localization and mapping (SLAM) algorithm was used to generate a map of the space being disinfected. Tulane virus (TV), a human norovirus surrogate, was used to validate the UVBot's effectiveness. TV was deposited on a painted drywall and exposed to UV radiation at different doses. A 3-log (99.9%) reduction of TV infectivity was achieved at a UV dose of 45 mJ/cm

Indexed as

NorovirusAlgorithmsChildDisinfectionHumansUltraviolet Raysautonomous robotnorovirusrobot disinfectionSLAMUV light

Identifiers

PMID36433523
PMCPMC9696947

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.