Risk management in fast-track projects

A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.This thesis is about risk management in fast-track construction projects. The aim of the study is to identify the risks in the UAE construction industry, understand how they are dealt with, and propose more effective frameworks for risk management in fast-track construction. A mixed method approach was used to fulfil the objectives of the study. 65 questionnaires were distributed to professionals in the construction industry, including contractors, sub-contractors, project managers and private consultants. Their responses were analysed using statistical techniques, and the results taken for discussion to a focus group of eleven experienced construction managers and experts. Secondary data was also collected via literature reviews of print and website articles, and of books and documents from company, government and industry-specific databases. The findings show that risks in construction projects can be internal or external, and that in the UAE, owner- and design-related risks are seen as the most significant. Knowledge about risk management is present, but more needs to be done to eradicate the problems associated with poorly managed fast-track construction projects. Using the suggestion of the focus group, a framework for risk mitigation was developed based on the Alien Eyes’ risk and Qualitative Risk Management models. The study discusses the implications of risk management for practitioners and academicians in the construction industry. Poor risk management, which is usually the consequence of inadequate recognition of and/or responsiveness to risks and uncertainties, can have a devastating impact upon projects. It is hoped that practitioners applying the findings and suggestions in this study will see positive change, improved profitability and greater competitive advantage as a result.Abu Dhabi Polic

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population