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Air pollution from transport hubs is a recognised health concern for local urban inhabitants. Within the domain of transport hubs, significant attention has been given to larger airport and port settings, however concerns have been raised about emissions from urban railway hubs, especially those with diesel trains. This paper presents an approach that adopts low-cost monitoring (LCM) for fixed site monitoring (FSM) to quantify and disaggregate PM 2.5 and NO 2 contributions from railway station and road traffic on air quality in the vicinity of railway station in Dublin, Ireland. The NO 2 sensor showed larger discrepancies than the PM 2.5 sensor when compared to the reference monitor. Machine learning models (XGBoost and Random Forest (RF) regression) were applied to calibrate the LCM devices, with the XGBoost model (NO 2, R 2  = 0.8 and RSME = 9.1 μg/m 3 & PM 2.5 , R 2  = 0.92 and RSME = 2.2 μg/m 3 ) deemed more appropriate than the RF model. Local wind conditions, pressure, PM 2.5 concentrations, and road traffic significantly impacted NO 2 model results, while raw PM 2.5 sensor readings greatly influenced the PM 2.5 model output. This highlights that the NO 2 sensor requires more input data for accurate calibration, unlike the PM 2.5 sensor. The monitoring results from the one-month monitoring campaign from May 25, 2023 to June 25, 2023 presented elevated NO 2 and PM 2.5 concentrations measured at the railway station, which translated to exceedances of the annual WHO limits (PM 2.5  = 5 μg/m 3 , NO 2  = 10 μg/m 3 ) by 1.6-1.8 and 3.2-5.2 times respectively at the study site. A subsequent data filtering technique based on wind orientation, revealed that the railway station was the main PM 2.5 source and road traffic was the main NO 2 source when winds come from the railway station. This study highlights the value of LCM devices alongside robust machine learning techniques to capture air quality in urban settings., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Shanmuga Priyan reports financial support was provided by Environmental Protection Agency. Yuxuan Guo reports financial support was provided by Environmental Protection Agency. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Clinical teaching during encounters with real patients lies at the heart of medical education. Mixed reality (MR) using a Microsoft HoloLens 2 (HL2) offers the potential to address several challenges: including enabling remote learning; decreasing infection control risks; facilitating greater access to medical specialties; and enhancing learning by vertical integration of basic principles to clinical application. We aimed to assess the feasibility and usability of MR using the HL2 for teaching in a busy, tertiary referral university hospital., Methods: This prospective observational study examined the use of the HL2 to facilitate a live two-way broadcast of a clinician-patient encounter, to remotely situated third and fourth year medical students. System Usability Scale (SUS) Scores were elicited from participating medical students, clinician, and technician. Feedback was also elicited from participating patients. A modified Evaluation of Technology-Enhanced Learning Materials: Learner Perceptions Questionnaire (mETELM) was completed by medical students and patients., Results: This was a mixed methods prospective, observational study, undertaken in the Day of Surgery Assessment Unit. Forty-seven medical students participated. The mean SUS score for medical students was 71.4 (SD 15.4), clinician (SUS = 75) and technician (SUS = 70) indicating good usability. The mETELM Questionnaire using a 7-point Likert Scale demonstrated MR was perceived to be more beneficial than a PowerPoint presentation (Median = 7, Range 6-7). Opinion amongst the student cohort was divided as to whether the MR tutorial was as beneficial for learning as a live patient encounter would have been (Median = 5, Range 3-6). Students were positive about the prospect of incorporating of MR in future tutorials (Median = 7, Range 5-7). The patients' mETELM results indicate the HL2 did not affect communication with the clinician (Median = 7, Range 7-7). The MR tutorial was preferred to a format based on small group teaching at the bedside (Median = 6, Range 4-7)., Conclusions: Our study findings indicate that MR teaching using the HL2 demonstrates good usability characteristics for providing education to medical students at least in a clinical setting and under conditions similar to those of our study. Also, it is feasible to deliver to remotely located students, although certain practical constraints apply including Wi-Fi and audio quality., (© 2024. The Author(s).)

Background: Ireland, like many countries, pursued a containment strategy during the initial stages of the COVID-19 pandemic. Multidisciplinary Outbreak Control Team (OCT) meetings were among the urgent measures used by public health teams in managing COVID-19 outbreaks, especially in high-risk settings., Aim: To describe and quantify the resources and person-time involved in managing outbreaks, and conducting OCT meetings, in older person Residential Care Facilities (RCF) in an Irish regional Department of Public Health (DePH) during the first 2 years of the COVID-19 pandemic., Methods: All COVID-19 RCF outbreaks managed by the DePH HSE-South between March 2020 and March 2022 were identified. Data pertaining to each outbreak, including details of any OCT meetings (frequency, membership, duration) were extracted. Clinical staff members of the DePH were surveyed regarding their time spent on RCF outbreak management., Results: Two hundred twenty-four outbreaks in older persons RCFs occurred between March 2020 and March 2022 in Cork and Kerry, accounting for 4211 COVID-19 resident/staff cases and 263 resident COVID deaths. One hundred twenty (53.5%) of the outbreaks required at least one OCT meeting, with 374 OCT meetings held in total (range 1-29 meetings per outbreak). Approximately 1819 hours were spent by clinical public health staff on RCF outbreak-related work., Conclusions: While substantial DePH resources were required to manage COVID-19 outbreaks in older person RCFs, it is highly likely that these efforts prevented new infections within RCFs and thus reduced hospitalisations, ICU admissions and deaths. This sustained input placed a significant burden on the wider multidisciplinary public health team, and it affected the department's capacity to deal with competing health threats and priorities. Future pandemic preparedness requires commensurate resource planning for public health teams., (© 2023. Crown.)