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This paper examines the efficacy of different messaging formats in the context of public health crises and emergencies in rural context. By analyzing usage statistics and user feedback, we assessed the effectiveness of various technology-mediated COVID-19 audio message formats (songs, expert interviews, endorsements, and dramas) delivered using the Amplio Talking Book device to rural communities in Ghana during the COVID-19 pandemic. Our findings indicate that different messaging formats resulted in varying levels of user engagement and interest.
View Article and Find Full Text PDFDecolonising research and folk media: a methodology for Exploring narratives of HIV and AIDS in rural Malawi.
Arts Health
May 2024
Theatre Studies, School of Culture and Creative Arts, University of Glasgow, Glasgow, Scotland.
Background: In Malawi, well-meaning HIV and AIDS interventions imagined in the "Global North" continue to ignore how local people construct the world. This paper explores how folk media can be used to enable research on HIV and AIDS to be positioned within localised cultural paradigms.
Methods: Drawing on Chewa epistemology, I used folk media methods supported by participant observation.
Is there scientific relevance to the plot of films and documentaries about eating disorders?
Rev Bras Enferm
March 2024
Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil.
Objectives: to analyze films and documentaries about eating disorders from the last twenty years, identifying the way they approach the topic as well as their relevance for didactic use in teaching the health field.
Methods: a descriptive study, whose data collection was carried out on the main streaming and video platforms, resulting in the survey of 60 media. Of these, only 25 had audio/subtitles in Portuguese (inclusion criteria).
A qualitative interview study of patients' attitudes towards and intention to use digital interventions for depressive disorders on prescription.
Front Digit Health
February 2024
Institute for Epidemiology, Social Medicine and Health Systems Research, Hannover Medical School, Hannover, Germany.
Background: Depressive disorders are an emerging public health topic. Due to their increasing prevalence, patients with depressive disorders suffer from the lack of therapeutic treatment. Digital health interventions may offer an opportunity to bridge waiting times, supplement, or even substitute in-person treatment.
View Article and Find Full Text PDFKBES: A dataset for realistic Bangla speech emotion recognition with intensity level.
Data Brief
December 2023
Department of Computer Science and Engineering, Khulna University of Engineering & Technology (KUET), Bangladesh.
Speech Emotion Recognition (SER) identifies and categorizes emotional states by analyzing speech signals. SER is an emerging research area using machine learning and deep learning techniques due to its socio-cultural and business importance. An appropriate dataset is an important resource for SER related studies in a particular language.
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