Evidence mapPaperPMID 38596037Full record

ArticleHeliyon2024

Potential health risks to disinfection workers from exposure to active substances in COVID-19 biocidal products.

Gihong Min, Jihun Shin, Dongjun Kim, Youngtae Choe, Jaemin Woo, Kil Yong Choi, Jangwoo Lee, Mansu Cho, Jongdae Lee, Jin-Sung Ra and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. 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
1.0field-weighted citation impact, top 29% 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, 4 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

11 authors at 4 institutions in 1 country.

Gihong MinDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Jihun ShinDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Dongjun KimDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Youngtae ChoeDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Jaemin WooDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Kil Yong ChoiDepartment of Environmental Energy Engineering, Anyang University, Anyang, South Korea.
Jangwoo LeeConvergence Research Center for Big-data, Cheminet Ltd, Seoul, South Korea.
Mansu ChoDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Jongdae LeeDepartment of Environmental Health Science, Soonchunhyang University, Chungnam, South Korea.
Jin-Sung RaEco-testing & Risk Assessment Center, Korea Institute of Industrial Technology, Ansan, South Korea.
Wonho YangDepartment of Health and Safety, Daegu Catholic University, Gyeongbuk, South Korea.
Daegu Catholic University · KRSoonchunhyang University · KRAnyang University · KRKorea Institute of Industrial Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of disinfection has recently been emphasized due to the increasing risk of the spread of infections such as coronavirus disease-2019 (COVID-19). In addition, disinfection for preventing the spread of COVID-19 is highly recommended. The increased use of biocidal products raises concerns regarding the potential health risks from exposure among disinfection workers. This study aimed to assess these exposure and health risks using questionnaires targeting disinfection workers who were exposed to the active substances in biocidal products used for disinfection during the COVID-19 pandemic. A follow-up survey was conducted among 271 disinfection workers for 10 working days within two weeks, and exposure factors with reference to disinfection were evaluated through interview-administered questionnaires. An exposure algorithm was used to evaluate the exposure of disinfection workers during disinfection. The hazard index (HI) was calculated by dividing the inhalation concentration obtained using the exposure algorithm and the dermal dose according to occupational exposure limits (OEL). A sensitivity analysis was conducted to identify the exposure factors with the greatest impact on the inhalation and dermal exposure algorithms. A logistic regression analysis was performed to verify the relationship with health effects and sociodemographic and exposure characteristics. The average number of disinfections performed during 10 working days was 17.5 ± 12.3 times. The type of disinfection work was divided into 2806 cases of COVID-19 prevention and disinfection and 1956 cases of regular pesticide application to prevent and remove any pests. The HI was ≥1, indicating a potential health risk, with the use of ethanol (6.50E+00), quaternary ammonium compounds (QACs; 1.49E+01), and benzalkonium chloride (BKC; 1.73E+00). Dermal exposure was more hazardous than inhalation exposure for 6 of the 11 active substances in biocidal products. The weight fraction and exposure time were the factors that most significantly influenced the inhalation and dermal exposure algorithms in the sensitivity analysis. Higher exposure concentrations were more likely to affect health (AOR: 3.239, 95% CI: 1.155-9.082). This study provides valuable information regarding the exposure and risk of disinfection workers to 11 biocidal active substances included in common disinfectants. Our results suggest that the use of ethanol, BKC, and QACs has potential health risks to disinfection workers, with a higher possibility of negative health impacts with increasing exposure concentration.

Indexed as

Active substanceCOVID-19DisinfectionDisinfection workerHazard index

Identifiers

PMID38596037
PMCPMC11002044
OpenAlexW4393237571

What Socratic 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 Socratic graph.