New Methodology to Evaluate and Optimize Indoor Ventilation Based on Rapid Response Sensors.

María Del Mar Durán Del Amor, Antonia Baeza Caracena, Francisco Esquembre, Mercedes Llorens Pascual Del Riquelme

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

María Del Mar Durán Del AmorDepartment of Chemical Engineering, Faculty of Chemistry, Campus de Espinardo, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0002-2913-4083

Antonia Baeza CaracenaDepartment of Chemical Engineering, Faculty of Chemistry, Campus de Espinardo, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0002-8207-0453

Francisco EsquembreDepartment of Mathematics, Faculty of Mathematics, Campus de Espinardo, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0003-4550-0183

Mercedes Llorens Pascual Del RiquelmeDepartment of Chemical Engineering, Faculty of Chemistry, Campus de Espinardo, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0003-3983-9922

Funding

Fundación Séneca - Agencia de Ciencia y Tecnología de la Región de Murcia 21246/FPI/19 and 21672/PDC/21

6 · The paper itself

Abstract

The recent pandemic increased attention to the need for appropriated ventilation and good air quality as efficient measures to achieve safe and healthy indoor air. This work provides a novel methodology for continuously evaluating ventilation in public areas using modern rapid response sensors (RRS). This methodology innovatively assesses the ventilation of a space by combining a quantitative estimation of the real air exchange in the space-obtained from CO

Indexed as

ACHair changes per hourindoor air qualityrapid response sensorsRRSventilation

Identifiers

PMID38475193

DOI10.3390/s24051657

PMCPMC10934913

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.