Background: Health information has a profound impact on developing awareness and ultimately preventing the burden of coronavirus disease-2019 (COVID-19) pandemic, but study in Bangladesh is lacking.
Aims: Therefore, this study was conducted to investigate the impact of information from social media and television in developing health awareness among people amid the COVID-19 pandemic.
Methods: Data was collected during December 10, 2020 to February 10, 2021 from 1808 people. Data was collected by using questionnaire about information source and their impact on COVID-19 related health measures. Pearson's correlation analyses was conducted.
Results: Female (52%, 937 of 1808) was the most prevalent sex and the mean age was 24 ± 3.9 years. Most of the social media users were students (63%, 1131 of 1808). Social media (53%, 959 of 1808) and television (44%, 800 of 1808) were the most popular sources and Facebook (66.5%, 1203 of 1808) was the most common source of getting health information. About 87% people received health information on social media and television. Users of social media had about 3 times more likelihood to follow the health rules. About 80% participants who used social media followed the health measures after 0-28 days of getting the information. The strongest correlation was found between social distancing and the information on television (r = 0.943).
Conclusion: Strong correlation of health information was present among the participants in building awareness about taking preventive measures. This is the first study to describe the positive influence of information amid COVID-19 in Bangladesh.
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http://dx.doi.org/10.1016/j.dsx.2021.102206 | DOI Listing |
JMIR Infodemiology
January 2025
Computational Social Science DataLab, University Institute of Research for Sustainable Social Development (INDESS), University of Cadiz, Jerez de la Frontera, Spain.
Background: During the COVID-19 pandemic, social media platforms have been a venue for the exchange of messages, including those related to fake news. There are also accounts programmed to disseminate and amplify specific messages, which can affect individual decision-making and present new challenges for public health.
Objective: This study aimed to analyze how social bots use hashtags compared to human users on topics related to misinformation during the outbreak of the COVID-19 pandemic.
J Med Internet Res
January 2025
Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States.
Background: People share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in digital spaces to discuss insomnia and insomnia treatments.
Objective: The aim of this study is to summarize and chart trends of insomnia treatment terms on a digital insomnia message board.
JAMA Netw Open
January 2025
Department of Management, Policy, and Community Health, School of Public Health, The University of Texas Health Science Center, Houston.
Importance: COVID-19 vaccine hesitancy among Black women is a critical public health concern, potentially exacerbating existing health disparities and impacting community-wide vaccination efforts.
Objective: To explore the factors associated with COVID-19 vaccine hesitancy among Black women in the US and identify the specific concerns and experiences shaping hesitant attitudes toward vaccination.
Design, Setting, And Participants: Qualitative study using in-depth, semistructured interviews conducted virtually between June and November 2021.
Alzheimers Dement
December 2024
Alzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.
Background: Recent advancements in Alzheimer's disease (AD) biomarker research and AD drug trials prompt reflection on the value and appropriate use of tau-PET in future clinical practice and trials. We therefore conducted a survey among dementia and PET experts worldwide to investigate how they envision the future role of tau-PET in clinical practice and trials.
Method: An online survey was distributed to dementia clinicians and researchers who were invited to participate through personalized emails, social media channels and/or presentations at relevant conferences.
Background: Lecanemab, an anti-amyloid therapy for early Alzheimer's disease (AD), received full FDA approval in July 2023 and subsequent approval in Japan in September 2023. Public reaction on social media was mixed, reflecting opinions on its efficacy, safety, and cost. We aimed to evaluate public perception of lecanemab's approval on social media, aiming to inform future communications and development strategies for anti-amyloid treatments.
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