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Epidemiological Features, Clinical Symptoms, and Environmental Risk Factors for Notifiable Japanese Encephalitis in Taiwan From 2008 to 2020: Retrospective Study.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
Methodological considerations for estimating indirect costs in children and adolescents with chronic conditions: a scoping review.
BMC Pediatr
January 2025
Chair for Institutional Economics and Health Policy, Department of Philosophy, Politics and Economics, Witten/Herdecke University, Witten, Germany.
Background: In children and adolescents, the prevalence of chronic diseases, e.g., obesity, asthma, and attention-deficit/hyperactivity disorder (ADHD), has increased in the last decades.
View Article and Find Full Text PDFStarfield's 4Cs of NCD management in primary healthcare: a conceptual framework development from a case study of 19 countries.
BMJ Glob Health
January 2025
School of Public Health, Imperial College London, London, UK.
Introduction: Faced with a backdrop of an increasing chronic disease burden from an ageing global population compounded with rising healthcare costs, health systems are required to implement cost-effective, safe and equitable care through efficient service delivery models. One approach to achieving this is through Starfield's 4Cs of primary healthcare (PHC), which delineates the key attributes of a high-performing PHC system that upholds the pillars of care coordination, first contact of care, continuity of care and comprehensive care. Therefore, this study aims to explore and elucidate the key themes and subthemes related to and extending beyond Starfield's 4Cs of PHC by integrating findings from a comprehensive literature review and a qualitative study.
View Article and Find Full Text PDFSimplified self-supervised learning for hybrid propagation graph-based recommendation.
Neural Netw
January 2025
School of Big Data & Software Engineering, Chongqing University, Chongqing, 401331, China. Electronic address:
Recent progress in Graph Convolutional Networks (GCNs) has facilitated their extensive application in recommendation, yielding notable performance gains. Nevertheless, existing GCN-based recommendation approaches are confronted with several challenges: (1) how to effectively leverage multi-order graph connectivity to derive meaningful node embeddings; (2) faced with sparse raw data, how to augment supervision signals without relying on auxiliary information; (3) given that GCNs necessitate the aggregation of neighborhood nodes, and the sparsity of these nodes can exacerbate the impact of noise data, how to mitigate the noise problem inherent in the raw data. For tackling aforementioned challenges, we devise a new hybrid propagation GCN-based method named S3HGN, incorporating a simplified self-supervised learning paradigm for recommendation.
View Article and Find Full Text PDFConstructing TheKeep.Ca With Thrivers of Cancer in Manitoba, Canada, in Support of Enhancing Patient Engagement: Protocol for a Pragmatic Multimethods Study.
JMIR Res Protoc
January 2025
College of Nursing, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Background: TheKeep.Ca was built to facilitate engagement with those experiencing cancer in Manitoba, Canada. Constructed between 2020 and 2024 with a group of patient advisors, the website includes information on engagement activities including research participation, the patient advisor role, and how those experiencing cancer can access these Manitoba activities.
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