Which jobs are lucky against the “biologic” and “economic” risks caused by the covid-19 pandemic?
Safety and Health at Work
; 13:S167, 2022.
Article
in English
| EMBASE | ID: covidwho-1677036
ABSTRACT
Introduction:
Coronavirus disease 2019(Covid19) is more common in some occupations and also many workers have been influenced in term of socioeconomic conditions in this period.The aim of this study is to investigate the occupational distribution of the patients diagnosed with Covid19, in two dimensions that work-related covid19 transmission(WRCT) and pandemic-related economic worsening(PREW).Method:
The study population of this cross-sectional study was 271 workers, out of 1505 who were diagnosed with Covid19 at Hospital between 19.03.2020-04.09.2021.A structured questionnaire were applied by telephone interview.The outcomes of the study were WRCT and PREW. International Standard Classification of Occupations and Erikson-Goldthorpe social class chart was used for occupational and socioeconomic classifications.Descriptive statistics is presented. Chi square test is used in comparison of proportions.Results:
Of 233 workers who accepted to participate in the study, 51.5% were male(n=120).The mean age was 37.7(±9.2).WRCT was found 3.6 times higher in healthcare workers(CI%95 1.9-6.9).PREW was observed in 53 workers(%27.7).Twenty workers had quit from their jobs(8.5%).PREW was higher in private sector(OR=6.69 CI %95 3.1-14.5).PREW was found significantly high in self-employed and small business owners compared to other social classes(p=0.001).Conclusions:
Healthcare workers are expose higher biological risk factors while small business owners might be vulnerable against economical risk factor. The white collar workers who could work from home were the luckiest, the virus risk has been reduced while ensuring business continuity.
adult; conference abstract; controlled study; coronavirus disease 2019; cross-sectional study; female; health care personnel; human; major clinical study; male; nonhuman; occupation; pandemic; private sector; risk factor; social class; standard; structured questionnaire; telephone interview; virus; white collar worker; work from home
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Type of study:
Prognostic study
Language:
English
Journal:
Safety and Health at Work
Year:
2022
Document Type:
Article
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