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1.
Environmental Health and Preventive Medicine ; : 2-2, 2022.
Article in English | WPRIM | ID: wpr-928826

ABSTRACT

BACKGROUND@#It is important to achieve herd immunity by vaccinating as many people as possible to end the COVID-19 pandemic. We investigated the relationship between willingness to receive vaccination and sources of health information among those who did not want to be vaccinated against COVID-19.@*METHODS@#This prospective cohort study collected data using a self-administered questionnaire survey. The baseline survey was conducted during December 22-25, 2020, and the follow-up survey during February 18-19, 2021. Participants were aged 20-65 years and worked at the time of the baseline survey (N = 33,087). After excluding 6,051 invalid responses, we included responses from 27,036 participants at baseline. In total, 19,941 people responded to the follow-up survey (74% follow-up rate). We excluded 7,415 participants who answered "yes" to the question "If a COVID-19 vaccine becomes available, would you like to get it?" in the baseline survey. We finally analyzed 12,526 participants.@*RESULTS@#The odds ratio for change in willingness to be vaccinated from "no" to "yes" differed by source of health information. Compared with workers that used TV as a source of information, significantly fewer people who reported getting information from the Internet and friends/colleagues were willing to get the vaccine.@*CONCLUSIONS@#It is important to approach workers who do not watch TV when implementing workplace vaccination programs. It is likely that willingness to be vaccinated can be increased through an active company policy whereby the top management recommend vaccination, coupled with an individual approach by occupational health professionals.@*TRIAL REGISTRATION@#Not applicable.


Subject(s)
Adult , Aged , Humans , Middle Aged , Young Adult , COVID-19/prevention & control , COVID-19 Vaccines , Cohort Studies , Cross-Sectional Studies , Influenza Vaccines , Japan , Pandemics , Prospective Studies
2.
Environmental Health and Preventive Medicine ; : 94-94, 2021.
Article in English | WPRIM | ID: wpr-922188

ABSTRACT

BACKGROUND@#To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app.@*METHODS@#This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use.@*RESULTS@#Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed.@*CONCLUSIONS@#Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.


Subject(s)
Adult , Female , Humans , Male , Middle Aged , COVID-19/prevention & control , Contact Tracing/methods , Cross-Sectional Studies , Industry/classification , Japan/epidemiology , Mobile Applications/statistics & numerical data , SARS-CoV-2 , Smartphone , Workplace/statistics & numerical data
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