Objectives: COVID-19 vaccination misinformation on YouTube can have negative effects on users. Some, after being exposed to such misinformation, may search online for information that either debunks or confirms it. This study's objective is to examine the impact of YouTube videos spreading misinformation about COVID-19 vaccination and the influencing variables, as well as subsequent information seeking and its effect on attitudes toward vaccination.
Methods: In this observational and survey study, we used a three-group pre-test and post-tests design ( = 106 participants). We examined the effects of YouTube videos containing misinformation about COVID-19 vaccination on attitudes toward vaccination via surveys, employed screen recordings with integrated eye tracks to examine subsequent online information searches, and again surveyed participants to examine the effects of the individual searches on their attitudes.
Results: Receiving misinformation via video tended to have negative effects, mostly on unvaccinated participants. After watching the video, they believed and trusted less in the effectiveness of the vaccines. Internet searches led to more positive attitudes toward vaccination, regardless of vaccination status or prior beliefs. The valences of search words entered and search duration were independent of the participants' prior attitudes. Misinforming content was rarely selected and perceived (read). In general, participants were more likely to perceive supportive and mostly neutral information about vaccination.
Conclusion: Misinformation about COVID-19 vaccination on YouTube can have a negative impact on recipients. Unvaccinated citizens in particular are a vulnerable group to online misinformation; therefore, it is important to take action against misinformation on YouTube. One approach could be to motivate users to verify online content by doing their own information search on the internet, which led to positive results in the study.
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http://dx.doi.org/10.1177/20552076231177131 | DOI Listing |
BMC Public Health
January 2025
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
China witnessed an Omicron COVID-19 outbreak at the end of 2022. During this period, medical crowding and enormous pressure on the healthcare systems occurred, which might result in the occurrence of occupational burnout among healthcare workers (HCWs). This study aims to investigate the prevalence of occupational burnout and associated mental conditions, such as depressive symptoms, anxiety, PTSD symptoms, perceived social support, resilience, and mindfulness among HCWs of the Chinese mainland during the Omicron COVID-19 outbreak, and to explore the potential risk and protective factors influencing occupational burnout of HCWs.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Gynecology with Breast Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: In recent years, there has been a growing number of case reports documenting delayed seroma in patients with a history of breast surgery and reconstruction. The occurrence of these seromas has been associated with prior SARS-CoV-2 infection or SARS-CoV-2 vaccination. So far, there are few systematic analyses on postoperative complications in breast surgery since the emergence of the SARS-CoV-2 pandemic.
View Article and Find Full Text PDFRoutine use of genetic data in healthcare is much-discussed, yet little is known about its performance in epidemiological models including traditional risk factors. Using severe COVID-19 as an exemplar, we explore the integration of polygenic risk scores (PRS) into disease models alongside sociodemographic and clinical variables. PRS were optimized for 23 clinical variables and related traits previously-associated with severe COVID-19 in up to 450,449 UK Biobank participants, and tested in 9,560 individuals diagnosed in the pre-vaccination era.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. Experimental results based on reported data from China between January 1, and December 1, 2022, demonstrate that the proposed dynamics informed neural networks (DINNs) method can accurately learn the dynamics and predict future states.
View Article and Find Full Text PDFVaccine
January 2025
Instituto Butantan, Sao Paulo, Brazil.
Developing Countries Vaccine Manufacturers Network (DCVMN) is an alliance of vaccine developers, manufacturers, and marketing authorization holders (MAHs) from low- and middle-income countries (LMICs) that plays a vital role in ensuring equitable, inclusive, accountable, and timely access to affordable, high-quality vaccines in these countries. Besides research and development, this network promotes manufacturing and global supply chains for effective strengthening of regulatory and pharmacovigilance activities. Traditionally, vaccine safety surveillance systems in LMICs rely on spontaneous reporting.
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