The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public's response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public's preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.
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http://dx.doi.org/10.3390/bs14020128 | DOI Listing |
Health Econ
January 2025
School of International Trade and Economics, University of International Business and Economics, Beijing, China.
While the direct health impacts of air pollution are widely discussed, its indirect effects, particularly during pandemics, are less explored. Utilizing detailed individual-level data from all designated hospitals in Wuhan during the initial COVID-19 outbreak, we examine the impact of air pollution exposure on treatment costs and health outcomes for COVID-19 patients. Our findings reveal that patients exposed more intensively to air pollution, identified by their residence in downwind areas of high-polluting enterprises, not only had worsened health outcomes but also consumed more medical resources.
View Article and Find Full Text PDFCell Rep
January 2025
Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address:
Virus neutralization profiles against primary infection sera and corresponding antigenic cartography are integral part of the COVID-19 and influenza vaccine strain selection processes. Human single variant exposure sera have previously defined the antigenic relationships among SARS-CoV-2 variants but are now largely unavailable due to widespread population immunity. Therefore, antigenic characterization of future SARS-CoV-2 variants will require an animal model, analogous to using ferrets for influenza virus.
View Article and Find Full Text PDFIr J Med Sci
January 2025
Department of General Surgery, Sorgun State Hospital, Yozgat, 66700, Turkey.
Aim: This study aimed to investigate the effect of the COVID-19 pandemic on the clinical and pathological stages of patients diagnosed with breast cancer.
Method: In this retrospective study, a total of 298 male and female patients over the age of 18 who were diagnosed with breast cancer and who were continuing surgical and oncologic treatment were included.
Results: Of the 298 patients diagnosed with breast cancer, 186 (62.
Clin Pediatr (Phila)
January 2025
Boston Medical Center, Boston, MA, USA.
Asia Pac J Public Health
January 2025
Department of Dental Hygiene, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, South Korea.
This study evaluates the influence of smoking cessation policies and COVID-19 on the prevalence of smoking among Korean adolescents from 2011 to 2020. Based on the Korea Youth Risk Behavior Web-based Survey, trends in adolescent smoking behaviors were examined, including the impact of cigarette price increases, Pictorial Warning Labels (PWLs), and the onset of COVID-19. We used joinpoint regression analysis to discern annual changes in the prevalence of adolescent smokers.
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