Understanding and mitigating fire risks in healthcare settings are crucial for ensuring the safety of individuals, especially during the current pandemic, which has increased the use of oxygen-supply equipment and potentially raised fire hazards. This case study, conducted in two university hospitals in Semnan, Iran, examined fire risk factors in healthcare facilities using a developed fire risk assessment method. A total of 28 wards and 74 compartments were assessed. Data collection included topographical structure analysis, building usage evaluation, and process documentation review. The FRAME method, validated in previous studies, was used to calculate fire risk levels for buildings, contents, occupants, and activities. The fire risk assessment revealed varying risk levels across different wards and compartments in the two hospitals. Hospital A exhibited higher fire risk levels compared to Hospital B, with several wards in Hospital A classified as "High" or "Very High" risk. Factors contributing to higher risk levels included building design, occupancy density, and the presence of flammable materials. Occupants in certain wards, particularly those with high occupancy rates and limited evacuation routes, were identified as being at increased risk. Activities such as the storage and handling of flammable materials were also found to contribute to elevated risk levels in specific areas. The study emphasizes the importance of implementing targeted fire safety measures, especially regarding oxygen-supplying equipment, high-density ventilators, and limited escape routes, to mitigate risks effectively in healthcare settings. This comprehensive assessment can guide best practices in fire safety management in hospitals.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11801610 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0315936 | PLOS |
Environ Monit Assess
March 2025
Department of Civil Engineering, Indian Institute of Technology (IIT) Madras, Chennai, Tamil Nadu, 600036, India.
Forest fires, whether natural or anthropogenic, release and mobilize heavy metal(loids) (HM). Following intense rainfall events, soil-bound HM are transported from soil to surface water through surface runoff, leading to water quality deterioration. Pollution and ecological risk indices are effective tools for assessing HM contamination.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Biology, The University of Scranton, 800 Linden Street, Scranton, PA, 18510, USA.
Human and animal populations increasingly encounter smoke pollution as climate change enhances the frequency and intensity of wildfires. Most work on smoke effects in animals has studied populations close to fires, populations experiencing small, prescribed burns, or animals in the lab. In June of 2023, smoke from distant Canadian wildfires quickly elevated particulate matter (PM) pollution in a wild house wren (Troglodytes aedon) population for three days before returning to baseline levels.
View Article and Find Full Text PDFJ Environ Manage
March 2025
Department of Agronomy, Kansas State University, Manhattan, KS, USA.
Forest fires have significantly increased over the last decade due to shifts in rainfall patterns, warmer summers, and long spells of dry weather events in the coastal regions. Assessment of susceptibility to forest fires has become an important management tool for damage control before the occurrence of fires, which often spread very rapidly. In this context, the current study was undertaken with the aim to map forest areas susceptible to fire in the state of Goa (India) using remote sensing (RS) and geographic information system () derived variables through an analytical hierarchy process (AHP) and machine learning techniques namely random forest (RF), support vector machine (SVM), extreme gradient boosting (XGB).
View Article and Find Full Text PDFJAMA Netw Open
March 2025
Department of Radiology, Yale School of Medicine, New Haven, Connecticut.
Importance: The weak link between subjective symptom-based diagnostics for posttraumatic psychopathology and objective neurobiological indices hinders the development of effective personalized treatments.
Objective: To identify early neural networks associated with posttraumatic stress disorder (PTSD) development among recent trauma survivors.
Design, Setting, And Participants: This prognostic study used data from the Neurobehavioral Moderators of Posttraumatic Disease Trajectories (NMPTDT) large-scale longitudinal neuroimaging dataset of recent trauma survivors.
Front Pharmacol
February 2025
Departmalet of Neurology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Introduction: The integration of traditional Chinese medicine (TCM) and Western medicine has demonstrated effectiveness in the primary prevention of stroke. Therefore, our study aims to utilize TCM syndromes alongside conventional risk factors as predictive variables to construct a machine learning model for assessing the risk of new-onset stroke.
Methods: We conducted a ten-year follow-up study encompassing 4,511 participants from multiple Chinese community hospitals.
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