In 2014, the Biological Threat Reduction Program (BTRP) developed a country assessment tool to assess the risk to a country's biosurveillance, biosafety, and biosecurity systems and their vulnerability to naturally occurring, accidental, or nefarious release of weaponizable pathogens. The country assessment tool is a unique method of assessing public health and veterinary systems at the national and subnational levels. The assessment process is led by a multisectoral, multidisciplinary team composed of 8 subject matter experts who conduct a combination of document reviews, individual and focus group interviews, and in-person assessments. The intent of the tool was to standardize the BTRP program planning process and support quantitative metrics to measure partner country capacities and capabilities throughout BTRP engagement. Used in more than 25 countries to establish a baseline of the health security risk landscape, the tool provides a foundation for identifying and prioritizing system-wide risk mitigation and management activities as well as periodic evaluations of the impacts of these activities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10818034 | PMC |
http://dx.doi.org/10.1089/hs.2019.0132 | DOI Listing |
Introduction: In natural disasters, children encounter serious health problems.
Method: This qualitative phenomenological study investigated the problems encountered by children with a diagnosis of celiac disease who lived in the earthquake region of Kahramahmaras in Turkey. Colaizzi method, a phenomenological research method, was used in the study.
BMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Kunming Children's Hospital, Kunming, Yunnan, China.
Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary.
Patients with High-Grade Serous Ovarian Cancer (HGSOC) exhibit varied responses to treatment, with 20-30% showing de novo resistance to platinum-based chemotherapy. While hematoxylin-eosin (H&E)-stained pathological slides are used for routine diagnosis of cancer type, they may also contain diagnostically useful information about treatment response. Our study demonstrates that combining H&E-stained whole slide images (WSIs) with proteomic signatures using a multimodal deep learning framework significantly improves the prediction of platinum response in both discovery and validation cohorts.
View Article and Find Full Text PDFBMJ Open
January 2025
Cardiovascular Sciences, University of Leicester College of Medicine Biological Sciences and Psychology, Leicester, UK.
Objectives: To explore patients' and carers' preferences for postdischarge surgical wound monitoring.
Design: Explanatory mixed methods study with an online survey followed by online interviews.
Setting: The online survey was distributed via the Cardiothoracic Interdisciplinary Research Network and cardiac surgery patient and public involvement groups in London and Leicester, UK.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!