Climate change is likely to have significant implications for human health, particularly through alterations of the incidence, prevalence, and distribution of infectious diseases. In the context of these risks, governments in high income nations have begun developing strategies to reduce potential climate change impacts and increase health system resilience (i.e., adaptation). In this paper, we review and evaluate national-level adaptation planning in relation to infectious disease risks in 14 OECD countries with respect to "best practices" for adaptation identified in peer-reviewed literature. We find a number of limitations to current planning, including negligible consideration of the needs of vulnerable population groups, limited emphasis on local risks, and inadequate attention to implementation logistics, such as available funding and timelines for evaluation. The nature of planning documents varies widely between nations, four of which currently lack adaptation plans. In those countries where planning documents were available, adaptations were mainstreamed into existing public health programs, and prioritized a sectoral, rather than multidisciplinary, approach. The findings are consistent with other scholarship examining adaptation planning indicating an ad hoc and fragmented process, and support the need for enhanced attention to adaptation to infectious disease risks in public health policy at a national level.
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http://dx.doi.org/10.3390/ijerph10127083 | DOI Listing |
Front Public Health
January 2025
Department of International Health, Center for Indigenous Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Introduction: Indigenous connectedness is an impetus for health, well-being, self-confidence, cultural preservation, and communal thriving. When this connectedness is disrupted, the beliefs, values, and ways of life that weave Indigenous communities together is threatened. In the Spring of 2020, the COVID-19 virus crept into Tribal Nations across the United States and exacerbated significant health-related and educational inequities.
View Article and Find Full Text PDFPhys Imaging Radiat Oncol
January 2025
Department of Clinical Research, University of Southern Denmark, Denmark.
Background And Purpose: Daily magnetic resonance image (MRI)-guided radiotherapy plan adaptation requires time-consuming manual contour edits of targets and organs at risk in the online workflow. Recent advances in auto-segmentation promise to deliver high-quality delineations within a short time frame. However, the actual time benefit in a clinical setting is unknown.
View Article and Find Full Text PDFSci Rep
January 2025
Brown University, Cognitive and Psychological Sciences, Providence, 02912, USA.
The existence of biases in visual perception and their impact on visually guided actions has long been a fundamental yet unresolved question. Evidence revealing perceptual or visuomotor biases has typically been disregarded because such biases in spatial judgments can often be attributed to experimental measurement confounds. To resolve this controversy, we leveraged the visuomotor system's adaptation mechanism - triggered only by a discrepancy between visual estimates and sensory feedback - to directly indicate whether systematic errors in perceptual and visuomotor spatial judgments exist.
View Article and Find Full Text PDFJ Craniomaxillofac Surg
January 2025
Ankara University, Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara, Turkey.
Symmetry is integral for the balance and function of the craniofacial complex and making precise diagnosis of asymmetric craniofacial structures is crucial for treatment planning. This study focuses on maxillomandibular asymmetry, examining its impact on condylar resorption and trabecular bone morphology changes following orthognathic surgery. Cone-beam computed tomography (CBCT) scans of patients with and without asymmetry were analyzed pre- and post-surgery.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Department of Radiation Oncology, Division of Medical Physics and Engineering , UT Southwestern Medical Center, 2280 Inwood Road, Dallas, Texas, 75390-9096, UNITED STATES.
One bottleneck of MRI-guided Online Adaptive Radiotherapy (MRoART) is the time-consuming daily online replanning process. The current leaf sequencing method takes up to 10 minutes, with potential dosimetric degradation and small segment openings that increase delivery time. This work aims to replace this process with a fast deep learning-based method to provide deliverable MLC sequences almost instantaneously, potentially accelerating and enhancing online adaption.
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