Evidence map›Paper›PMID 33452599›Full record

SynthesisEnvironmental monitoring and assessment2021

Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review.

Jagriti Saini, Maitreyee Dutta, Goncalo Marques

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Mitigating indoor risk of airborne infections using COJournal of environmental health science & engineering · 2026
    Article
  2. Review
  3. Review
  4. Observational
  5. A Retrospective Analysis of Indoor COSensors (Basel, Switzerland) · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

3 authors.

Jagriti SainiNational Institute of Technical Teacher's Training and Research, Chandigarh, 160019, India. jagritis1327@gmail.com.ORCID https://orcid.org/0000-0001-6903-3722
Maitreyee DuttaNational Institute of Technical Teacher's Training and Research, Chandigarh, 160019, India.ORCID https://orcid.org/0000-0002-2608-6821
Goncalo MarquesPolytechnic of Coimbra, ESTGOH, 3400-124, Oliveira do Hospital, Portugal.ORCID https://orcid.org/0000-0001-5834-6571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing populations around the world are closely associated with rising levels of air pollution. The impact is not restricted to outdoor areas. Moreover, the health of building occupants is also deteriorating due to poor indoor air quality. As per the World Health Organization, indoor air pollution is a leading cause of 1.6 million premature deaths annually. Therefore, numerous companies have started the development of low-cost sensors to monitor indoor air pollution with the Internet of Things-based applications. However, due to the close association of air pollution levels to the mortality and morbidity rates, communities face several limitations while selecting sensors to address this public health challenge. The main contribution of this systematic review is to present a qualitative and quantitative evaluation of low-cost sensors while providing deep insights into the selection criteria for adequate monitoring. The authors in this paper discussed studies published after the year 2015, and it includes an analysis of papers published in the English language only. Moreover, this study highlights crucial research questions, states answers, and provides recommendations for future research studies. The outcomes of this paper will be useful for students, researchers, and industry members concerning the upcoming research and manufacturing activities. The results show that 28 studies (70%) include indoor thermal comfort assessment, 26 (65%) and 12 (30%) studies include CO

Indexed as

Air PollutantsAir PollutionAir Pollution, IndoorEnvironmental MonitoringHumansInternet of ThingsAir PollutantsIndoor air qualityInternet of ThingsMonitoring systemsSensors

Identifiers

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.