In the midst of the COVID-19 pandemic (between 26 March and 2 April 2020), we analysed ( = 1144) the social representations of the coronavirus and the differentiated perceptions according to the origins attributed to the appearance of the virus (Human vs Non-Human and Intentional vs Unintentional) in a French population. The results show that the social representation is organized around five potentially central descriptive, anxiety-provoking and globally negative elements. But death and contagion are the only stable and structuring elements. The other elements vary according to the reason attributed to the object of fear. Depending on how individuals attribute the origin of the virus, social representations of it vary not only in terms of their content but also in terms of their structure. These results indicate how important it is to consider the perceptions that individuals share about the human (vs non-human) and intentional (vs unintentional) origin of an object of fear in the analysis of their representation of that object.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/13634593211005172 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predictors, patterns, and correlates of moderate-severe psychological distress among New York City College Students during Waves 2-4 of COVID-19.
Sci Rep
January 2025
Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, Ste. 876, New York, NY, 10032, USA.
The COVID-19 pandemic may have exacerbated mental health conditions by introducing and/or modifying stressors, particularly in university populations. We examined longitudinal patterns, time-varying predictors, and contemporaneous correlates of moderate-severe psychological distress (MS-PD) among college students. During 2020-2021, participants completed self-administered questionnaires quarterly (T1 = 562, T2 = 334, T3 = 221, and T4 = 169).
View Article and Find Full Text PDFExploring the Role of Communication Asset Mapping (CAM) as a Strategy to Promote Hereditary Cancer Risk Assessment Information Within African American Communities.
Int J Environ Res Public Health
January 2025
Department of Behavioral Science and Health Equity, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA.
: African Americans (AAs) carry the largest burden for almost every type of cancer in the US and are also more likely to die from cancer. Approximately 10% of cancers can be explained by a hereditary factor and detected earlier. Many AAs, however, have inequitable access to hereditary cancer risk assessment (HCRA) tools and information, further exacerbating disparities in cancer rates.
View Article and Find Full Text PDFSocial representations of dementia. A qualitative inquiry into perspectives of people with dementia, professionals, and informal caregivers.
Dementia (London)
January 2025
Department of Philosophy and Cultural Heritage, Ca' Foscari University of Venice, Italy.
Using a theoretical framework that underscores the social dimension of meaning-making processes, this study delved into the social representations of dementia in the Italian context and the personal meanings expressed by three distinct groups of participants. The study involved ninety-two episodic interviews with people living with dementia and those who had provided care as professionals or informal caregivers. The collected data underwent various types of analysis.
View Article and Find Full Text PDF[Duties of the Physician in Relation to the Use of Alternative and Complementary Medicines by Their Patients].
Rev Med Chil
November 2024
Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
In the prevailing medical pluralism of contemporary society, alternative and complementary medicine occupy a relevant place, comprising a heterogeneous group of practices with different values depending on tradition and social acceptance. Their scarce regulation and growing use, facilitated by promotion through social networks and distrust of the dominant biomedical model, have generated interest among medical organizations and health authorities in their use and consequences. Appreciations vary from outright rejection to interest in its adoption by public health systems as part of their services.
View Article and Find Full Text PDFEnhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods.
Tomography
December 2024
Department of Computer Engineering, Faculty of Engineering, Karabük University, Karabük 78050, Türkiye.
Unlabelled: Due to the increasing number of people working at computers in professional settings, the incidence of lumbar disc herniation is increasing.
Background/objectives: The early diagnosis and treatment of lumbar disc herniation is much more likely to yield favorable results, allowing the hernia to be treated before it develops further. The aim of this study was to classify lumbar disc herniations in a computer-aided, fully automated manner using magnetic resonance images (MRIs).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!