Download or read book Overcoming Data Sparsity A Machine Learning Approach to Track the Real Time Impact of COVID 19 in Sub Saharan Africa written by Karim Barhoumi and published by International Monetary Fund. This book was released on 2022-05-06 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.

Download or read book Impact of COVID 19 Nowcasting and Big Data to Track Economic Activity in Sub Saharan Africa written by Brandon Buell and published by International Monetary Fund. This book was released on 2021-05 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.

Download or read book Regional Economic Outlook Sub Saharan Africa October 2023 written by International Monetary and published by International Monetary Fund. This book was released on 2023-10-10 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Still emerging from the COVID-19 pandemic, countries in sub-Saharan Africa have been hit by a sluggish global economy, worldwide inflation, high borrowing costs, and a cost-of-living crisis. In many cases, inflation is still too high, borrowing costs are still elevated, exchange-rate pressures persist, and political instability is an ongoing concern. To ensure that the coming rebound is more than just a transitory glimpse of sunshine, it is important for authorities to guard against a premature relaxation of stabilization policies, while also focusing on reforms to both claw back lost ground from the four-year crisis and also to create new space to address the region’s pressing development needs.

Download or read book Panel Nowcasting for Countries Whose Quarterly GDPs are Unavailable written by Omer Faruk Akbal and published by International Monetary Fund. This book was released on 2023-08-04 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availablity, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.

Download or read book Practical Macroeconomics for Non Economists written by Michael P. Niemira and published by Taylor & Francis. This book was released on 2023-07-10 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Macroeconomics for Non-Economists provides the tools, the theory, and the empirical understanding of macroeconomics without the heavy lifting of the mathematical and econometric models. This accessible book introduces the building blocks of macroeconomic thinking and challenges the reader to apply these insights to learn why economists say what they do and what guides economic policymakers. Linking actual data to theoretical concepts, it explores competing economic theories, and uncovers some of the key controversies in macroeconomic theory and how different perspectives lead to alternative and vastly different policy recommendations. Key features include: • Coverage of all the key macroeconomic topics, such as GDP, inflation, unemployment, output and productivity, business cycles, aggregate demand/supply, and fiscal and monetary policy. • Question-and-answer format, covering the foundations of each topic in a logical progression, to provide the reader with a quick reference and more focused discussion. • "Advanced questions" to encourage deeper discussion. • Start-of-chapter learning objectives, which allow the reader to "see" the road ahead for each section. • End-of-chapter "Issues to think about" boxed features, which offer the reader an opportunity to apply critical thinking to the issues covered. • Resource manual and PowerPoints for instructors. Practical Macroeconomics for Non-Economists is the ideal textbook for anyone looking for a practical and non-technical introduction to the subject.

Download or read book Intelligent Data Analysis for COVID 19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Download or read book Computational Modeling and Data Analysis in COVID 19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Download or read book Gendered impacts of COVID 19 Insights from 7 countries in Sub Saharan Africa and South Asia written by Alvi, Muzna Fatima and published by Intl Food Policy Res Inst. This book was released on 2022-02-18 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is widely recognized that periods of crisis affect men and women differently, mediated by their access to resources and information, as well as social and institutional structures that may systematically disadvantage women from being able to access relief, institutional support, and rehabilitation. To capture the gendered impacts of the COVID-19 pandemic and lockdowns, we conducted phone surveys in seven countries spread across Asia and Africa. The study was designed as a longitudinal panel study with five rounds of data collection in Ghana, Nepal, Nigeria, and Senegal, and three rounds of data collection in Kenya, Niger, and Uganda. Both men and women were administered the same survey, with some modifications made across countries to adapt to local contexts. This report gives an overview of our findings covering several topics including income loss, coping strategies, labor and time use, food and water insecurity and child education outcomes. We find widespread reports of income loss, which declined over time, but increased again as countries experienced a resurgence in COVID-19 cases and fatality. We find that households first depleted savings when faced with income loss and over time, use of savings reduced while other measures began to be adopted. Women reported greater food and water insecurity compared to men, including worrying about insufficient food and eating less than usual. This is particularly worrying since a large proportion of women also did not have adequately diverse diets. Moderate to severe water insecurity was reported in many of the countries, and as with food insecurity, women were more likely to report issues with accessing water for drinking and other household activities. In some countries, additional modules were added to capture country specific issues of policy relevance, such agriculture extension, mental health, and child marriage. The results make it clear that proactive investments will be needed, including social safety nets, favorable credit policies, nutrition and water investments, to ensure that the crisis does not further widen the gender gap in resources and achievements in rural areas of low- and middle-income countries.

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Download or read book Intelligent Systems and Methods to Combat Covid 19 written by Amit Joshi and published by Springer Nature. This book was released on 2020-08-26 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Download or read book Data Analytics and Management written by Ashish Khanna and published by Springer Nature. This book was released on 2021-01-04 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Download or read book Global Innovation Index 2020 written by Cornell University and published by WIPO. This book was released on 2020-08-13 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Global Innovation Index 2020 provides detailed metrics about the innovation performance of 131 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The 2020 edition sheds light on the state of innovation financing by investigating the evolution of financing mechanisms for entrepreneurs and other innovators, and by pointing to progress and remaining challenges – including in the context of the economic slowdown induced by the coronavirus disease (COVID-19) crisis.

Download or read book COVID 19 and Education written by Christopher Cheong and published by Informing Science. This book was released on 2021-05-28 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics include work-integrated learning (internships), student well-being, and students with disabilities. Also,it explores the impact on assessments and academic integrity and what analysis of online systems tells us. Preface ................................................................................................................................ ix Section I: Introduction .................................................. 1 Chapter 1: COVID-19 Emergency Education Policy and Learning Loss: A Comparative Study ............................................................................................................ 3 Athena Vongalis-Macrow, Denise De Souza, Clare Littleton, Anna Sekhar Section II: Student and Teacher Perspectives .............. 27 Chapter 2: Classrooms Going Digital – Evaluating Online Presence Through Students’ Perception Using Community of Inquiry Framework .............................. 29 Hiep Cong Pham, Phuong Ai Hoang, Duy Khanh Pham, Nguyen Hoang Thuan, Minh Nhat Nguyen Chapter 3: A Study of Music Education, Singing, and Social Distancing during the COVID-19 Pandemic: Perspectives of Music Teachers and Their Students in Hong Kong, China .......................................................................................................... 51 Wai-Chung Ho Hong Kong Baptist University Chapter 4: The Architectural Design Studio During a Pandemic: A Hybrid Pedagogy of Virtual and Experiential Learning .......................................................... 75 Cecilia De Marinis, Ross T. Smith Chapter 5: Enhancing Online Education with Intelligent Discussion Tools ........ 97 Jake Renzella, Laura Tubino, Andrew Cain, Jean-Guy Schneider Section III: Student Experience ................................... 115 Chapter 6: Australian Higher Education Student Perspectives on Emergency Remote Teaching During the COVID-19 Pandemic ............................................... 117 Christopher Cheong, Justin Filippou, France Cheong, Gillian Vesty, Viktor Arity Chapter 7: Online Learning and Engagement with the Business Practices During Pandemic ......................................................................................................................... 151 Aida Ghalebeigi, Ehsan Gharaie Chapter 8: Effects of an Emergency Transition to Online Learning in Higher Education in Mexico ..................................................................................................... 165 Deon Victoria Heffington, Vladimir Veniamin Cabañas Victoria Chapter 9: Factors Affecting the Quality of E-Learning During the COVID-19 Pandemic From the Perspective of Higher Education Students ............................ 189 Kesavan Vadakalur Elumalai, Jayendira P Sankar, Kalaichelvi R, Jeena Ann John, Nidhi Menon, Mufleh Salem M Alqahtani, May Abdulaziz Abumelha Disabilities ................................................................. 213 Chapter 10: Learning and Working Online During the COVID-19 Pandemic: A Wellbeing Literacy Perspective on Work Integrated Learning Students ............... 215 Nancy An, Gillian Vesty, Christopher Cheong Chapter 11: Hands-on Learning in a Hands-off World: Project-Based Learning as a Method of Student Engagement and Support During the COVID-19 Crisis .. 245 Nicole A. Suarez, Ephemeral Roshdy, Dana V. Bakke, Andrea A. Chiba, Leanne Chukoskie Chapter 12: Positive and Contemplative Pedagogies: A Holistic Educational Approach to Student Learning and Well-being ........................................................ 265 Sandy Fitzgerald (née Ng) Chapter 13: Taking Advantage of New Opportunities Afforded by the COVID-19 Pandemic: A Case Study in Responsive and Dynamic Library and Information Science Work Integrated Learning .............................................................................. 297 Jessie Lymn, Suzanne Pasanai Chapter 14: Online Learning for Students with Disabilities During COVID-19 Lockdown ....................................................................................................................... 313 Mark Taylor Section V: Teacher Practice .......................................... 331 Chapter 15: From Impossibility to Necessity: Reflections on Moving to Emergency Remote University Teaching During COVID-19 ............................... 333 Mikko Rajanen Chapter 16: Business (Teaching) as Usual Amid the COVID-19 Pandemic: A Case Study of Online Teaching Practice in Hong Kong ......................................... 355 Tsz Kit Ng, Rebecca Reynolds, Man Yi (Helen) Chan, Xiu Han Li, Samuel Kai Wah Chu Chapter 17: Secondary School Language Teachers’ Online Learning Engagement during the COVID-19 Pandemic in Indonesia ......................................................... 385 Imelda Gozali, Anita Lie, Siti Mina Tamah, Katarina Retno Triwidayati, Tresiana Sari Diah Utami, Fransiskus Jemadi Chapter 18: Riding the COVID-19 Wave: Online Learning Activities for a Field-based Marine Science Unit ........................................................................................... 415 PF Francis Section VI: Assessment and Academic Integrity .......... 429 Chapter 19: Student Academic Integrity in Online Learning in Higher Education in the Era of COVID-19 .............................................................................................. 431 Carolyn Augusta, Robert D. E. Henderson Chapter 20: Assessing Mathematics During COVID-19 Times ............................ 447 Simon James, Kerri Morgan, Guillermo Pineda-Villavicencio, Laura Tubino Chapter 21: Preparedness of Institutions of Higher Education for Assessment in Virtual Learning Environments During the COVID-19 Lockdown: Evidence of Bona Fide Challenges and Pragmatic Solutions ........................................................ 465 Talha Sharadgah, Rami Sa’di Section VII: Social Media, Analytics, and Systems ...... 487 Chapter 22: Learning Disrupted: A Comparison of Two Consecutive Student Cohorts ............................................................................................................................ 489 Peter Vitartas, Peter Matheis Chapter 23: What Twitter Tells Us about Online Education During the COVID-19 Pandemic ................................................................................................................... 503 Sa Liu, Jason R Harron

Download or read book Artificial Intelligence and Sustainable Computing written by Hari Mohan Dubey and published by Springer Nature. This book was released on 2021-07-19 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Download or read book Artificial Intelligence for COVID 19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Download or read book Machine Learning for Predictive Analysis written by Amit Joshi and published by Springer Nature. This book was released on 2020-10-22 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.