In this paper, a compartmental model is proposed to study the dynamics of COVID-19 pandemic caused by the coronavirus SARS-CoV-2 and the role of media in controlling this ongoing infection. Model includes implementation of media awareness as a control measure to mitigate the spread of the disease. In the proposed model, we have divided the total human population into four sub-classes, namely susceptibles, asymtomatic infectives, aware susceptibles and symptomatic infectives (or Isolated infectives which are under treatment/hospitalized) incorporating classes representing cumulative density of virus and media alert. The important mathematical features of the model are thoroughly investigated. The endemic equilibrium is found to be locally asymptotically stable as well as non-linearly asymptotically stable with certain conditions. Numerical simulations are also carried out in support of the analytical results and to show the effects of certain key parameters.
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http://dx.doi.org/10.1007/s40808-021-01280-8 | 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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