Covid 19 Decision Making

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.

With the emergence of the global COVID-19 pandemic, social purpose-driven organizations are stepping up to A Social Impact Tool the challenge of pivoting their business models to play their role. [...] Now, more than ever, leaders are called upon to for Social Purpose-driven make immediate and profound decisions with far-reaching consequences - and with the potential to accelerate and scale Organizations their social impact ripple into their communities and beyond. [...] As you make this decision, you might consider... 1. Sustainable Community Development: 3. Asset Mobilization: How can we harness How can this decision complement and all our organization's assets to address this accelerate the social, economic, cultural and societal issue? [...] How can we enhance the growth of green 4. Future Generations: How will this decision economy and social economy businesses and improve social and planetary conditions for industries? [...] As you make this decision, you might consider... 6. Society Transformation: How can we 9. Diversity and Inclusion: In this decision, challenge the status quo for the benefit of all are we applying fair and just treatment of all through the decisions we make?

The COVID-19 pandemic has presented unprecedented challenges to the nation's K-12 education system. The rush to slow the spread of the virus led to closures of schools across the country, with little time to ensure continuity of instruction or to create a framework for deciding when and how to reopen schools. States, districts, and schools are now grappling with the complex and high-stakes questions of whether to reopen school buildings and how to operate them safely if they do reopen. These decisions need to be informed by the most up-to-date evidence about the SARS-CoV-2 virus that causes COVID-19; about the impacts of school closures on students and families; and about the complexities of operating school buildings as the pandemic persists. Reopening K-12 Schools During the COVID-19 Pandemic: Prioritizing Health, Equity, and Communities provides guidance on the reopening and operation of elementary and secondary schools for the 2020-2021 school year. The recommendations of this report are designed to help districts and schools successfully navigate the complex decisions around reopening school buildings, keeping them open, and operating them safely.

The spring of 2020 marked a change in how almost everyone conducted their personal and professional lives, both within science, technology, engineering, mathematics, and medicine (STEMM) and beyond. The COVID-19 pandemic disrupted global scientific conferences and individual laboratories and required people to find space in their homes from which to work. It blurred the boundaries between work and non-work, infusing ambiguity into everyday activities. While adaptations that allowed people to connect became more common, the evidence available at the end of 2020 suggests that the disruptions caused by the COVID-19 pandemic endangered the engagement, experience, and retention of women in academic STEMM, and may roll back some of the achievement gains made by women in the academy to date. Impact of COVID-19 on the Careers of Women in Academic STEMM identifies, names, and documents how the COVID-19 pandemic disrupted the careers of women in academic STEMM during the initial 9-month period since March 2020 and considers how these disruptions - both positive and negative - might shape future progress for women. This publication builds on the 2020 report Promising Practices for Addressing the Underrepresentation of Women in Science, Engineering, and Medicine to develop a comprehensive understanding of the nuanced ways these disruptions have manifested. Impact of COVID-19 on the Careers of Women in Academic STEMM will inform the academic community as it emerges from the pandemic to mitigate any long-term negative consequences for the continued advancement of women in the academic STEMM workforce and build on the adaptations and opportunities that have emerged.

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

This volume brings together findings from rapid-response COVID-19 research that are linked by a focus on governance decisions, particularly the 'how' and the 'why' of decision-making during the pandemic. Contributors reflect on how the pandemic seems impossible to disentangle from issues of trust and accountability in power and authority.

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

Simulation and game-based learning are essential applications in a learning environment as they provide learners an opportunity to apply the course material in real-life scenarios. Introducing real-life learning allows the learner to make critical decisions at different points within the simulation providing constructive education that leads to a cognitive understanding of the material. The use of simulations provides the learner with the ability to cognitively store and recall learning in real-life experiences. Therefore, it is crucial to not only provide course material but to have students apply what they have learned in simulations that replicate real-life scenarios. These learned skills are essential for students to be marketable and thrive in a career field where decision making, problem solving, and critical thinking are job requirements. Simulation and Game-Based Learning in Emergency and Disaster Management is a cutting-edge research book that examines the best practices and holistic development when it comes to simulation learning within emergency and disaster management as well as global security. Drawing upon the neuroscience of learning, classroom instruction can be enhanced to incorporate active-experiential learning activities that positively impact a learner with long-term information retention. Each simulation project is carried out in different environments, with different goals in mind, and developed under various constraints. For these reasons, this book will provide insight into the simulation planning and development process, provide examples of online simulations and game-based learning activities, and provide insight on simulation development and implementation that can be used across disciplines in educational and training settings. As such, it is ideal for academicians, instructional designers, curriculum designers, education professionals, researchers, and students.