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| http://dx.doi.org/10.2471/BLT.14.142315 | DOI Listing |
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Health Outcomes of Construction Workers Building Infrastructure for Mega-Sporting Events: A Systematic Review of the Literature.
Int J Environ Res Public Health
December 2024
Department of Physical Education and Sport Science, University of Thessaly, Karies, 42100 Trikala, Greece.
Background: Migrant construction workers involved in building infrastructure for mega-sporting events face elevated risks of illness and death. However, specific health outcomes for these workers have not been systematically reviewed, limiting opportunities to identify and address their challenges.
Methods: This study systematically reviewed health outcomes among migrant construction workers involved in mega-sporting events.
Emergency Care for Refugee Patients at Suceava Hospital, Romania: Challenges and Insights from the First Year of the Russian-Ukrainian Conflict.
Healthcare (Basel)
January 2025
Faculty of Medicine, "Titu Maiorescu" University of Medicine, 031593 Bucharest, Romania.
Background: The ongoing military conflict in Ukraine has had a devastating impact on children's health, exposing them to a range of illnesses. The aim of this study was to analyze the most common medical conditions among Ukrainian children since the beginning of the conflict, with a focus on identifying and understanding these problems in a wartime setting.
Method: To assess the health status of affected children, we collected data from 422 pediatric patients who presented to the emergency department.
Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation.
BMC Health Serv Res
January 2025
Division of Pediatric Emergency Medicine, Hospital for Sick Children, Toronto, Canada.
Objective: To evaluate the accuracy of Google Translate (GT) in translating low-acuity paediatric emergency consultations involving respiratory symptoms and fever, and to examine legal and policy implications of using AI-based language interpretation in healthcare.
Methods: Based on the methodology used for conducting language performance testing routinely at the Interpreter Services Department of the Hospital for Sick Children, clinical performance testing was completed using a paediatric emergency scenario (child with respiratory illness and fever) on five languages: Spanish, French, Urdu, Arabic, and Mandarin. The study focused on GT's translation accuracy and a legal and policy evaluation regarding AI-based interpretation in healthcare was conducted by legal scholars.
Inter-institutional cooperation and migrants' financial education: An Italian case study.
Eval Program Plann
January 2025
Department of Economics and Statistics "Cognetti de Martiis", University of Turin, IZA, MPC-EUI, Italy. Electronic address:
This study examines the Welcome-ED project-a partnership between the Municipality of Turin and the Turin Museum of Savings (MoS)-designed to provide tailored financial education to diverse migrant groups through cooperation with local entities, including cooperatives, non-profit associations, and provincial centers for adult education. By analyzing the project's implementation, we identify its strengths and critical areas for improvement, offering actionable recommendations to guide the design of future financial education programs for migrants at the local level. The program's use of multimodal, interactive teaching methods is a valuable aspect of this initiative, as it contributed to increasing participant engagement and delivering accessible content.
View Article and Find Full Text PDFCervical cancer incidence rates considering migration status in mainland China using Bayesian model-Estimation based on 2016 cancer registry data.
Int J Cancer
January 2025
Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
In mainland China, cancer registration relies on household-registered populations, overlooking migrant populations. Estimating cervical cancer incidence among permanent residents, including migrants, offers a more accurate representation of the true burden. The data from 487 cancer registries across China in 2016 were analyzed using a Bayesian spatial regression model with the integrated nested Laplace approximation-stochastic partial differential equation method.
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