What is now known as the "Versailles Disaster" began as a wedding celebration in Jerusalem on 24 May 2001. The reception was held in the third floor banqueting hall of a hotel, the floor of which subsequently collapsed, crashing through the second and first floors of the building. Four hundred people fell with the floor, and 310 injured people were evacuated using the scoop-and-run principle. The total number of dead was 23, which was less than might have been expected. Israel's on-site disaster management system of giving control to the first paramedic on the scene appeared to work well; however, the other emergency services did not act in coordination with the paramedics. The hospitals managed patients efficiently and social workers were mobilized quickly to assist people experiencing psychological trauma.

Download full-text PDF

Source
http://dx.doi.org/10.1017/s1049023x00004386DOI Listing

Publication Analysis

Top Keywords

jerusalem 2001
8
kamedo report
4
report collapse
4
collapse building
4
building wedding
4
wedding reception
4
reception jerusalem
4
2001 "versailles
4
"versailles disaster"
4
disaster" began
4

Similar Publications

Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neutralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels.

View Article and Find Full Text PDF

Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. Reduced taxonomic α-diversity is often reported under land use change, yet the impacts could be different at larger spatial scales (i.e.

View Article and Find Full Text PDF

A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection.

PLoS One

December 2024

Department of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.

Article Synopsis
  • Acinetobacter baumanni infections are common and serious in ICUs, making early detection crucial for better patient outcomes.
  • This study developed a Machine Learning prediction tool using data from nearly 20,000 ICU patients to identify those at risk for these infections.
  • The tool showed moderate predictive ability, with key risk factors being respiratory function, metabolic issues, and antibiotic use, suggesting areas for improving prediction accuracy in the future.*
View Article and Find Full Text PDF

A substantial body of literature has been published on acne vulgaris (AV) in the past five decades. Bibliometric analysis (BA) is a scientific, statistical evaluation review of published articles, providing a quantitative assessment of past research. The Web of Science (webOS) citation indexing database was used on 11 June 2023 to identify the top 100 cited articles on AV.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!