This paper presents a systematic and data-driven approach to prioritize interventions in urban areas with asbestos cement (AC) roofs, addressing the urgent need to mitigate asbestos-related risks. The objective is to propose a comprehensive methodology that considers multiple criteria at the neighborhood level, allowing for a nuanced assessment of intervention priorities. The methodology involves the normalization of various parameters, including population density, facility density, and the area covered by asbestos-cement roofs. In addition, an innovative aspect is introduced by incorporating weathering status identification data, represented as an index, validated in previous research, further enriching the evaluation process. The integration of these diverse factors allows for a holistic understanding of the risk landscape associated with AC roofs in urban settings. The cornerstone of the proposed approach is the development of a Priority Intervention Index (PII) at the neighborhood level. This index serves to standardize the assessment of intervention priorities, enabling a fair and transparent comparison across different regions. To enhance practical application, the PII is discretized into three categories, low, mid and high intervention priority. The results obtained are robust, replicable in other scenarios, and practical for decision-makers. The new methodology provides a structured and quantifiable approach to identify and prioritize areas for asbestos-related interventions based on well-defined criteria at the neighborhood level. The resulting prioritization strategy offers urban planners and local officials a clear and evidence-based tool to allocate resources efficiently and effectively manage the inherent risks associated with AC roofs in urban environments. The paper will describe how the prioritization can be applied "at the neighborhood level" by urban planners and local officials.
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http://dx.doi.org/10.1016/j.heliyon.2024.e37522 | DOI Listing |
Aging Clin Exp Res
January 2025
Department of Physical Medicine and Rehabilitation, Kansai Medical University, Osaka, Japan.
Background: Falls on stairs are a major cause of severe injuries among older adults, with stair descent posing significantly greater risks than ascent. Variations in stair descent phenotypes may reflect differences in physical function and biomechanical stability, and their identification may prevent falls.
Aims: This study aims to classify stair descent phenotypes in older adults and investigate the biomechanical and physical functional differences between these phenotypes using hierarchical cluster analysis.
Public Health Pract (Oxf)
June 2025
UI Health/University of Illinois Chicago College of Medicine, Department of Emergency Medicine Chicago, Illinois, USA.
Background: Screening for diabetes in non-traditional settings like emergency departments (ED) can enhance early detection among patients at higher risk for diabetes. This study aims to assess the reach of an ED-based screening program by examining the characteristics of patients screen-detected for diabetes or prediabetes.
Study Design: Retrospective cross-sectional study.
Spine (Phila Pa 1976)
January 2025
Department of Neurosurgery, University of Alabama at Birmingham; Birmingham, AL.
Study Design: Retrospective Cohort Study.
Objectives: To examine the impact of neighborhood-level socioeconomic factors on the delay of care and severity of disease among DCM patients at initial presentation.
Summary Of Background Data: Degenerative Cervical Myelopathy (DCM) is the most common etiology for spinal cord dysfunction among adults worldwide.
Hyperspectral images (HSI) have been extensively applied in a multitude of domains, due to their combined spatial and spectral characteristics along with a wealth of spectral bands. The ingenious combination of spatial and spectral information in HSI classification has remained a central research area for an extended period. In the classification process, it is essential to choose an expanded neighborhood window for learning.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Background: Medulloblastoma is the most commonly occurring malignant brain tumor of childhood. Treatment includes a combination of surgery, radiation therapy, and chemotherapy, all of which are associated with cognitive impairments. Despite appreciation of the value of neuropsychological evaluations to assess for cognitive impairments, there are barriers to these evaluations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!