Background: Masks are well accepted in Japan, where they were already part of daily life even before the COVID-19 pandemic. Unlike many other countries where mask mandates were lifted as soon as the pandemic was under control, Japan was one of the last countries to ease mask-wearing guidelines. Even after the formal announcement to allow masks-off in mid-March 2023, many Japanese still voluntarily wear masks. In this work, possible reasons for this extreme "mask-affinity" of Japanese people were studied by exploring various information sources including tweets (now known as X posts) and subsequent text-analysis, online news, and medical literature.
Methods: An observational study was conducted based on tweets prospectively collected during 5 months from June 26, 2022 to November 26, 2022. Tweets with the hashtag "mask (in Japanese)" were collected weekly via the Twitter application programming interface by using R version 4.0.3 to gauge public opinions. The word clouds to allow intuitive understanding of the key words were drawn from the tokenized text.
Results: The data collection period included the 7 flareups of the newly infected cases i.e. "the 7 surge". In total, 161,592 tweets were collected. Word clouds for 1) before the 7 surge based on 18,000 tweets on June 26 and 2) during/after the 7 surge based on 143,592 tweets between July-November were created with the R package "wordcloud2". The results indicated that the people wanted to take off masks due to the heat in summer, then shifted again toward mask-wearing along with the 7 surge but with a certainly growing "no-mask" sentiment.
Conclusions: Subsequent review of domestic information sources suggested that various factors, not only well-known peer pressure, may have contributed the public's mask affinity in Japan. This work revealed an aspect of Japanese struggle toward adaptation to life in an unexpected pandemic by focusing on masks as our closest daily adjunct over the past 3 years of isolation.Trial registration: not applicable.
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http://dx.doi.org/10.1016/j.dialog.2024.100172 | DOI Listing |
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFJ Infect Dev Ctries
December 2024
Family Medicine, Merkezefendi District Health Directorate, Denizli, Turkey.
Introduction: Post-COVID-19 syndrome refers to the occurrence of symptoms lasting more than 4 weeks in individuals who have recovered from COVID-19. This study aims to investigate the post-COVID-19 symptoms in healthcare professionals.
Methodology: This descriptive study included 166 healthcare professionals who had tested positive for COVID-19 via PCR at least four weeks prior and subsequently presented to the Family Medicine Clinic at Pamukkale University Training and Research Hospital.
Background: Previous studies on public compliance with policies during pandemics have primarily explained it from the perspectives of motivation theory, focusing on normative motivation (trust in policy-making institutions) and calculative motivation (fear of contracting the disease). However, the social amplification of a risk framework highlights that the media plays a key role in this process.
Objective: This study aims to integrate the motivation theory of compliance behavior and the social amplification of risk framework to uncover the "black boxes" of the mechanisms by which normative motivation and calculative motivation influence public policy compliance behavior through the use of media.
JMIR Res Protoc
January 2025
Foundation of Healthcare Technologies Society, New Delhi, India.
Background: Podcasts are an unconventional method of disseminating information through audio to the masses. They are an emerging portable technology and a valuable resource that provides unlimited access for promoting health among participants. Podcasts related to health care have been used as a source of medical education, but there is a dearth of studies on the use of podcasts as a source of health information.
View Article and Find Full Text PDFCent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objective: This study aims to describe the outcomes of COVID-19 patients treated with molnupiravir and to explore the associations with various risk factors.
Methods: We conducted a single-centre, descriptive, retrospective study without a comparison group.
Results: Out of 141 patients, 70 (49.
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