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Workplace measures against COVID-19 during the winter third wave in Japan: company size-based differences (preprint)
medrxiv; 2021.
Preprint
en Inglés
| medRxiv | ID: ppzbmed-10.1101.2021.02.14.21251716
ABSTRACT
ObjectivesLittle is known about workplace measures against coronavirus disease 2019 (COVID-19) in Japan after the first state of emergency period, especially in micro-, small-, and medium-sized enterprises (MSMEs). This study aimed to provide an overview of the current situation of anti-COVID-19 measures in Japanese enterprises, considering company size. MethodsThis study was an Internet-based nationwide cross-sectional study. Data were collected using an online self-administered questionnaire in December 2020 during the third wave of COVID-19. The chi-squared test for trend was performed to calculate the p-value for trend for each workplace measure across company sizes. ResultsFor the 27,036 participants, across company sizes, the most prevalent workplace measure was encouraging mask wearing at work, followed by requesting that employees refrain from going to work when ill and restricting work-related social gatherings and entertainment. These measures were implemented by approximately 90% of large-scale enterprises and by more than 40% of micro- and small-scale enterprises. In contrast, encouraging remote working and restricting eating and drinking at personal workspaces were implemented by less than half of large-scale enterprises and by around 15% of micro- and small-scale enterprises. There were statistically significant differences in all workplace measures by company size (all p-values < .001). ConclusionsWe found that various responses to COVID-19 had been taken in workplaces. However, some measures, including remote working, were still not well implemented, especially in smaller enterprises. The findings suggest that occupational health support for MSMEs is urgently needed to mitigate the current wave of COVID-19.
Texto completo:
Disponible
Colección:
Preprints
Base de datos:
medRxiv
Asunto principal:
COVID-19
Idioma:
Inglés
Año:
2021
Tipo del documento:
Preprint
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