Evidence map›Paper›PMID 33205272›Full record

ArticleEnvironmental science and pollution research international2021

Temporal variation of airborne fungi in university library rooms and its relation to environmental parameters and potential confounders.

Dingmeng Wu, Ying Zhang, Chenbo Zhao, Angui Li, Li'an Hou, Yu Tian, Jing Xiong, Ran Gao

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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
0.5field-weighted citation impact, top 35% of its field
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, 9 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Dingmeng WuSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Ying ZhangSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Chenbo ZhaoSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Angui LiSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China. liag@xauat.edu.cn.
Li'an HouSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Yu TianSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Jing XiongSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Ran GaoSchool of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, People's Republic of China.
Xi'an University of Architecture and Technology · CN

Funding

Chinese Academy of Engineering No. 2020-ZD-15Ministry of Science and Technology of the People's Republic of China No. 2017YFC0702800
6 · The paper itself

Abstract

Indoor airborne fungi have been associated with adverse human health effects. Therefore, it is important to understand the causes of underlying variation in airborne fungi in indoor environments. This study consequently aimed to investigate the association between indoor fungi with temporal variation, environmental parameters, and potential confounders over 10 months in four library rooms using Andersen samplers. Indoor fungal concentrations peaked in October and were lowest in March in both stack rooms, whereas the highest concentrations in both reading rooms were observed in September with lowest concentrations in July. Nonparametric analyses revealed higher fungal concentrations in the rooms that were significantly associated with relative humidity ≥ 60%, PM

Indexed as

Air Pollution, IndoorUniversitiesAir MicrobiologyEnvironmental MonitoringFungiHumansAirborne fungiEnvironmental parametersMultiple linear regressionNonparametric testPotential confoundersTemporal variation

Identifiers

PMID33205272
OpenAlexW3105424324

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.