Evidence map›Paper›PMID 36904663›Full record

ArticleSensors (Basel, Switzerland)2023

Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings.

Jelle Vanhaeverbeke, Emiel Deprost, Pieter Bonte, Matthias Strobbe, Jelle Nelis, Bruno Volckaert, Femke Ongenae, Steven Verstockt, Sofie Van Hoecke

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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
  3. A Retrospective Analysis of Indoor COSensors (Basel, Switzerland) · 2024
    Article
  4. 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

9 authors.

Jelle VanhaeverbekeIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0002-6732-6502
Emiel DeprostIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0001-5323-5506
Pieter BonteIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0002-8931-8343
Matthias StrobbeIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0003-1730-0862
Jelle NelisIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0002-0358-3809
Bruno VolckaertIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0003-0575-5894
Femke OngenaeIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0003-2529-5477
Steven VerstocktIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0003-1094-2184
Sofie Van HoeckeIDLab, Ghent University-imec, 9052 Ghent, Belgium.ORCID 0000-0002-7865-6793

Funding

Research Foundation - Flanders 1266521NResearch Foundation - Flanders 1SA4321N
6 · The paper itself

Abstract

A healthy and safe indoor environment is an important part of containing the coronavirus disease 2019 (COVID-19) pandemic. Therefore, this work presents a real-time Internet of things (IoT) software architecture to automatically calculate and visualize a COVID-19 aerosol transmission risk estimation. This risk estimation is based on indoor climate sensor data, such as carbon dioxide (CO

Indexed as

Air Pollution, IndoorCOVID-19HumansRespiratory Aerosols and DropletsSoftwareTemperaturebuilding managementCOVID-19 aerosol transmission risk estimationdynamic dashboardindoor sensorsIoTsemantic datastreaming architecture

Identifiers

PMID36904663
PMCPMC10007635

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.