Evidence map›Paper›PMID 35591133›Full record

SynthesisSensors (Basel, Switzerland)2022

Towards Personalization of Indoor Air Quality: Review of Sensing Requirements and Field Deployments.

Qian Xu, Hui Ci Goh, Ehsan Mousavi, Hamed Nabizadeh Rafsanjani, Zubin Varghese, Yogesh Pandit, Ali Ghahramani

Abstract readSystematic Review
In one paragraph

Synthesis 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. Statistical Analysis of the Impact of COVID-19 on PMSensors (Basel, Switzerland) · 2022
    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

7 authors.

Qian XuDepartment of the Built Environment, College of Design and Engineering, National University of Singapore, Singapore 119077, Singapore.
Hui Ci GohDepartment of the Built Environment, College of Design and Engineering, National University of Singapore, Singapore 119077, Singapore.
Ehsan MousaviDepartment of Construction Science and Management, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0003-4970-5709
Hamed Nabizadeh RafsanjaniSchool of Engineering and Applied Sciences, Western Kentucky University, Bowling Green, KY 42101, USA.
Zubin VargheseTrane Technologies PLC Engineering & Technology Centre, Bangalore 560029, India.
Yogesh PanditTrane Technologies PLC Engineering & Technology Centre, Bangalore 560029, India.
Ali GhahramaniDepartment of the Built Environment, College of Design and Engineering, National University of Singapore, Singapore 119077, Singapore.ORCID 0000-0003-2043-7261

Funding

Ministry of Education R-296-000-211-133Trane Technologies PLC A-0008468-00-00
6 · The paper itself

Abstract

As humans spend more time indoors, ensuring acceptable indoor air quality (IAQ) through ubiquitous sensing systems has become a necessity. Although extensive studies have been conducted on the IAQ sensing systems, a holistic review of the performance and deployment of Ubiquitous IAQ Sensing (UIAQS) systems with associated requirements in IAQ sensing standards is still lacking. In this study, we first reviewed IAQ pollutants and other IAQ-related factors and the associated requirements in the prominent IAQ sensing standards. We found that while non-pollutant factors are influential on occupants' perception of IAQ and their satisfaction, they do not have evaluation metrics in the IAQ standards. Then, we systematically reviewed field studies on UIAQS technologies in the literature. Specific classes of information were recorded and analyzed further. We found that the majority of the UIAQS systems did not meet the requirements of the prominent IAQ sensing standards and identified four primary research gaps. We concluded that a new holistic and personalized approach that incorporates UIAQS measurements and subjective feedback is needed. This study provides valuable insights for researchers and policymakers to better improve UIAQS technologies by developing personalized IAQ sensors and sensing standards.

Indexed as

Air PollutantsAir Pollution, IndoorEnvironmental PollutantsBenchmarkingEnvironmental MonitoringHumansAir PollutantsEnvironmental PollutantsIAQindoor pollutantspersonalized air qualitysensing standardsubiquitous IAQ sensors

Identifiers

PMID35591133
PMCPMC9104953

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.