The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space-time epidemiology monitoring purpose.
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http://dx.doi.org/10.1007/s10441-014-9235-7 | DOI Listing |
JAMA Netw Open
January 2025
Department of Surgery, Division of Urology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Cancer Nurs
January 2025
Author Affiliations: Department Research, Hospital Germans Trias i Pujol, Universitat Autonòma de Barcelona; and NURECARE Research Group, Institut d'Investigació i Hospital Germans Trias i Pujol (IGTP), Ctra de Can Ruti, Camí de les Escoles (Dr Huertas-Zurriaga); Department Research, Institut Català Oncologia-Hospital Germans Trias i Pujol; Universitat Autonòma de Barcelona; GRIN Group, IDIBELL, Institute of Biomedical Research; and NURECARE Research Group, IGTP, Ctra de Can Ruti, Camí de les Escoles (Dr Cabrera-Jaime); Tecnocampus University and NURECARE Research Group, IGTP, Ctra de Can Ruti, Camí de les Escoles (Dr Navarri); Oncology Department, Hereditarian Cancer Program, Institut Català Oncologia-Hospital Germans Trias i Pujol, B-ARGO (Badalona Applied Research Group in Oncology), IGTP (Health Research Institute Germans Trias i Pujol), Universitat Autònoma de Barcelona (Dr Teruel-Garcia); and Nursing Research Group in Vulnerability and Health (GRIVIS); and Nursing Department, Faculty of Medicine, Universitat Autònoma de Barcelona (Dr Leyva-Moral), Badalona, Spain.
Background: Breast cancer survivors face unique challenges in breastfeeding decisions. Limited research exists on the experiences and decision-making processes of young women with breast cancer regarding breastfeeding.
Objective: To explain the decision-making processes of young women with breast cancer in relation to breastfeeding throughout the cancer trajectory.
Clin Transl Oncol
January 2025
Medical Oncology Department, Hospital del Mar, Parc de Salut Mar, Spanish Group for Breast Cancer Research (GEICAM), Barcelona, Spain.
Therapeutic decision-making for older patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer highlights the importance of a comprehensive geriatric assessment (CGA). This assessment considers the functional status, comorbidities, and relevant conditions of the patient, and allows for an estimation of life expectancy, but it does not facilitate individualized treatment plans. There are also other challenges to consider related to the cardiac toxicity of the treatments and the under-representation of older patients in clinical trials.
View Article and Find Full Text PDFEur Arch Otorhinolaryngol
January 2025
Department of Otorhinolaryngology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstraße 1, 55131, Mainz, Germany.
Introduction: Tumor boards are a cornerstone of modern cancer treatment. Given their advanced capabilities, the role of Large Language Models (LLMs) in generating tumor board decisions for otorhinolaryngology (ORL) head and neck surgery is gaining increasing attention. However, concerns over data protection and the use of confidential patient information in web-based LLMs have restricted their widespread adoption and hindered the exploration of their full potential.
View Article and Find Full Text PDFJ Craniofac Surg
January 2025
Department of Craniomaxillofacial Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This meta-analysis compares the accuracy of mandible-first and maxilla-first approaches in bimaxillary orthognathic surgery to improve clinical decision-making. A systematic search was performed in PubMed, Web of Science, Embase, and Cochrane databases up to August 2024. The analysis included randomized controlled trials and cohort studies with a minimum of 10 patients.
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