Evidence map›Paper›PMID 35421295›Full record

ArticleCentral European journal of public health2022

Contamination and transmission of Mycobacteria in indoor environments of public buildings.

Zhang BaoYing, Liang XiaoJun, Ban HaiQun, Liu Fan, Zhang LiuBo

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Central European journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Zhang BaoYingNational Institute of Environmental Health, Chinese Centre for Disease Control and Prevention, Beijing, China.
Liang XiaoJunKunshan Centre for Disease Control and Prevention, Kunshan, Jiangsu Province, China.
Ban HaiQunNational Institute of Environmental Health, Chinese Centre for Disease Control and Prevention, Beijing, China.
Liu FanNational Institute of Environmental Health, Chinese Centre for Disease Control and Prevention, Beijing, China.
Zhang LiuBoNational Institute of Environmental Health, Chinese Centre for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to detect Mycobacterium tuberculosis complex, M. avium subsp. avium and M. intracellulare, Mycobacterium contamination and to explore the aerosol transmission of mycobacteria in public buildings in China.

methodsA total of 552 environmental samples, namely 165 aerosol, 199 water, 70 air duct dust, and 118 soil samples, were collected from 39 public buildings and analysed using nested polymerase chain reaction.

resultsThe positivity rate of Mycobacterium tuberculosis complex, M. avium subsp. avium and M. intracellulare in air samples were 0.6% and 1.8%, respectively. There was significant difference in the positivity rate of Mycobacterium aerosol among the three types of public building (χ

conclusionsMycobacteria are widespread in public buildings. Mycobacterium tuberculosis complex, M. avium and M. intracellulare were simultaneously present in the air ducts of central air conditioning systems and indoor air in public buildings, which indicates that aerosol transmission is a potential route.

Indexed as

MycobacteriumMycobacterium avium ComplexAerosolsHumansSoilWaterAerosolsSoilWaterindoor environmentmycobacteriapublic building

Identifiers

PMID35421295
OpenAlexW4223940996

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.