5 research outputs found

    Whole system railway modelling

    Get PDF
    There has been a general view articulated within the railway industry that there needs to be greater systems thinking and systems engineering applied to major projects within the industry (Network Rail, 2013 and Rail Safety and Standards Board, 2012). However, there are many differing ideas held by practising engineers of exactly what systems engineering is and how it is applied within the industry. There are also barriers within industry in general, management and practising engineers to using systems engineering techniques. They can be seen as an overhead in terms of, training, tooling, effort and costs. Also the benefits to be gained from applying these techniques are not easily seen when they work well. A key pillar of systems engineering and systems thinking is the ability to look at a system as a whole. Part of this is getting to grips with what a system really is, it’s interaction with its operational environment and the world around it and to understand the various subsystems that the system is comprised of and their interaction, including people. This is particularly difficult when it comes to complex systems like railways. This project attempts to develop an approach to modelling a whole railway system (or Guided Transport System (GTS) as it is defined in this project) by implementing a Model Based Systems Engineering (MBSE) approach and techniques. It also proposes definitions of a system and system engineering that are applicable to the Railway industry. Through a common view of a GTS as a whole and a common approach to modelling it, it should be possible to address some of the barriers to systems engineering techniques that currently exist. MBSE has three pillars, a method, a modelling language and a modelling tool (Delligatti, 2014, pp. 4-7). The author has developed a method that can be applied to a whole complex system, such as a GTS, supported by the SysML modelling language implemented through the Enterprise Architect modelling tool (other languages and modelling tools could also be used). The method developed was then tested on a body of students studying for an MSc in Railway Systems Engineering and Integration at the University of Birmingham. This body was chosen because the course is part time and the majority of the students work full time in the industry. Thus the author was able to gain an insight into how diverse the opinions on systems engineering and its application actually are within the industry and get valuable feedback on the systems modelling methodology developed during this research. It has been demonstrated through the development of a partial model of various representative parts of a GTS, that it is possible, within a single model, to capture and represent a large and diverse amount of information about a GTS as it is defined within this thesis. This includes: • its context within the wider world and its operational environment; • its physical structure; • the relationships between its various subsystems and the outside world; • the views of a diverse stakeholder group and their Requirements; and • critical system properties and how these are derived from the various layers of abstraction within the system. The methodology drives the user to develop a model that: 1. is re-usable, e.g. applicable to different railways at different times; 2. is extendable in length (be able to model more railway) and depth (greater levels of detail); 3. allows the inclusion of existing quantitative and qualitative models from other sources; 4. encourages the use of data from existing sources; 5. is open and transparent to allow others to use and add to them; and 6. enables the production of outputs that are readily understandable across disciplinary divides e.g. common representation

    Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

    Get PDF
    BACKGROUND: A safe and efficacious vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), if deployed with high coverage, could contribute to the control of the COVID-19 pandemic. We evaluated the safety and efficacy of the ChAdOx1 nCoV-19 vaccine in a pooled interim analysis of four trials. METHODS: This analysis includes data from four ongoing blinded, randomised, controlled trials done across the UK, Brazil, and South Africa. Participants aged 18 years and older were randomly assigned (1:1) to ChAdOx1 nCoV-19 vaccine or control (meningococcal group A, C, W, and Y conjugate vaccine or saline). Participants in the ChAdOx1 nCoV-19 group received two doses containing 5 × 1010 viral particles (standard dose; SD/SD cohort); a subset in the UK trial received a half dose as their first dose (low dose) and a standard dose as their second dose (LD/SD cohort). The primary efficacy analysis included symptomatic COVID-19 in seronegative participants with a nucleic acid amplification test-positive swab more than 14 days after a second dose of vaccine. Participants were analysed according to treatment received, with data cutoff on Nov 4, 2020. Vaccine efficacy was calculated as 1 - relative risk derived from a robust Poisson regression model adjusted for age. Studies are registered at ISRCTN89951424 and ClinicalTrials.gov, NCT04324606, NCT04400838, and NCT04444674. FINDINGS: Between April 23 and Nov 4, 2020, 23 848 participants were enrolled and 11 636 participants (7548 in the UK, 4088 in Brazil) were included in the interim primary efficacy analysis. In participants who received two standard doses, vaccine efficacy was 62·1% (95% CI 41·0-75·7; 27 [0·6%] of 4440 in the ChAdOx1 nCoV-19 group vs71 [1·6%] of 4455 in the control group) and in participants who received a low dose followed by a standard dose, efficacy was 90·0% (67·4-97·0; three [0·2%] of 1367 vs 30 [2·2%] of 1374; pinteraction=0·010). Overall vaccine efficacy across both groups was 70·4% (95·8% CI 54·8-80·6; 30 [0·5%] of 5807 vs 101 [1·7%] of 5829). From 21 days after the first dose, there were ten cases hospitalised for COVID-19, all in the control arm; two were classified as severe COVID-19, including one death. There were 74 341 person-months of safety follow-up (median 3·4 months, IQR 1·3-4·8): 175 severe adverse events occurred in 168 participants, 84 events in the ChAdOx1 nCoV-19 group and 91 in the control group. Three events were classified as possibly related to a vaccine: one in the ChAdOx1 nCoV-19 group, one in the control group, and one in a participant who remains masked to group allocation. INTERPRETATION: ChAdOx1 nCoV-19 has an acceptable safety profile and has been found to be efficacious against symptomatic COVID-19 in this interim analysis of ongoing clinical trials. FUNDING: UK Research and Innovation, National Institutes for Health Research (NIHR), Coalition for Epidemic Preparedness Innovations, Bill & Melinda Gates Foundation, Lemann Foundation, Rede D'Or, Brava and Telles Foundation, NIHR Oxford Biomedical Research Centre, Thames Valley and South Midland's NIHR Clinical Research Network, and AstraZeneca

    Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK

    Get PDF
    Background A safe and efficacious vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), if deployed with high coverage, could contribute to the control of the COVID-19 pandemic. We evaluated the safety and efficacy of the ChAdOx1 nCoV-19 vaccine in a pooled interim analysis of four trials. Methods This analysis includes data from four ongoing blinded, randomised, controlled trials done across the UK, Brazil, and South Africa. Participants aged 18 years and older were randomly assigned (1:1) to ChAdOx1 nCoV-19 vaccine or control (meningococcal group A, C, W, and Y conjugate vaccine or saline). Participants in the ChAdOx1 nCoV-19 group received two doses containing 5 × 1010 viral particles (standard dose; SD/SD cohort); a subset in the UK trial received a half dose as their first dose (low dose) and a standard dose as their second dose (LD/SD cohort). The primary efficacy analysis included symptomatic COVID-19 in seronegative participants with a nucleic acid amplification test-positive swab more than 14 days after a second dose of vaccine. Participants were analysed according to treatment received, with data cutoff on Nov 4, 2020. Vaccine efficacy was calculated as 1 - relative risk derived from a robust Poisson regression model adjusted for age. Studies are registered at ISRCTN89951424 and ClinicalTrials.gov, NCT04324606, NCT04400838, and NCT04444674. Findings Between April 23 and Nov 4, 2020, 23 848 participants were enrolled and 11 636 participants (7548 in the UK, 4088 in Brazil) were included in the interim primary efficacy analysis. In participants who received two standard doses, vaccine efficacy was 62·1% (95% CI 41·0–75·7; 27 [0·6%] of 4440 in the ChAdOx1 nCoV-19 group vs71 [1·6%] of 4455 in the control group) and in participants who received a low dose followed by a standard dose, efficacy was 90·0% (67·4–97·0; three [0·2%] of 1367 vs 30 [2·2%] of 1374; pinteraction=0·010). Overall vaccine efficacy across both groups was 70·4% (95·8% CI 54·8–80·6; 30 [0·5%] of 5807 vs 101 [1·7%] of 5829). From 21 days after the first dose, there were ten cases hospitalised for COVID-19, all in the control arm; two were classified as severe COVID-19, including one death. There were 74 341 person-months of safety follow-up (median 3·4 months, IQR 1·3–4·8): 175 severe adverse events occurred in 168 participants, 84 events in the ChAdOx1 nCoV-19 group and 91 in the control group. Three events were classified as possibly related to a vaccine: one in the ChAdOx1 nCoV-19 group, one in the control group, and one in a participant who remains masked to group allocation. Interpretation ChAdOx1 nCoV-19 has an acceptable safety profile and has been found to be efficacious against symptomatic COVID-19 in this interim analysis of ongoing clinical trials

    Addressing Limitations in Observational Studies of the Association Between Glucose-Lowering Medications and All-Cause Mortality: A Review

    No full text

    Observational studies of the association between glucose-lowering medications and cardiovascular outcomes: addressing methodological limitations

    No full text
    corecore