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Record W4407494391 · doi:10.29333/ejgm/15962

Quality of indoor air in educational institutions and adverse public health in Europe: A scoping review

2025· review· en· W4407494391 on OpenAlexaff
Ioannis Adamopoulos, Niki Syrou, Maad M. Mıjwıl, Pramila Thapa, Guma Ali, Lóránt Dénes Dávid

Bibliographic record

VenueElectronic Journal of General Medicine · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsSavaria (Canada)
Fundersnot available
KeywordsIndoor air qualityQuality (philosophy)Public healthAir quality indexEnvironmental healthEnvironmental planningBusinessPolitical scienceMedicineEnvironmental scienceGeographyNursingEnvironmental engineeringMeteorology

Abstract

fetched live from OpenAlex

Indoor air quality (IAQ) at educational institutions has emerged as an important public health issue, affecting the health and cognitive performance of school-aged children, students, and faculty alike. This scoping review study seeks to investigate and synthesize current literature on the factors influencing the current state of research on IAQ in educational institutions and its implications for public health. The methodology of this study is the scoping review with the guidelines of preferred reporting items for extension reviews. The technique thoroughly investigated peer-reviewed journals, international organizations, government reports, and case studies on IAQ in educational contexts. Using keywords such as IAQ; educational institutions; public health; Europe, and “adverse health outcomes,” the study’s inclusion and exclusion criteria, as well as the criteria use of quality assessments. The results show that poor IAQ is linked to various public health problems, including respiratory issues and cognitive impairments, especially among vulnerable groups like children and teachers. Inadequate ventilation, volatile organic compounds, mold growth, and external contaminants are all common causes of poor IAQ. Monitoring and management measures are required to improve IAQ in Educational Institutions, encouraging students’ health and academic performance. Policy implications are also important for interdisciplinary approaches addressing this public health concern.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.861
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.168
GPT teacher head0.479
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2025
Admission routes1
Has abstractyes

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