Overcoming Data Sparsity A Machine Learning Approach To Track The Real Time Impact Of Covid 19 In Sub Saharan Africa
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Overcoming Data Sparsity A Machine Learning Approach To Track The Real Time Impact Of Covid 19 In Sub Saharan Africa
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Author : Karim Barhoumi
language : en
Publisher: International Monetary Fund
Release Date : 2022-05-06
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 has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Business & Economics categories.
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.
Impact Of Covid 19 Nowcasting And Big Data To Track Economic Activity In Sub Saharan Africa
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Author : Brandon Buell
language : en
Publisher: International Monetary Fund
Release Date : 2021-05
Impact Of Covid 19 Nowcasting And Big Data To Track Economic Activity In Sub Saharan Africa written by Brandon Buell and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05 with Business & Economics categories.
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.
Regional Economic Outlook Sub Saharan Africa October 2023
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Author : International Monetary
language : en
Publisher: International Monetary Fund
Release Date : 2023-10-10
Regional Economic Outlook Sub Saharan Africa October 2023 written by International Monetary and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Business & Economics categories.
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.
Panel Nowcasting For Countries Whose Quarterly Gdps Are Unavailable
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Author : Omer Faruk Akbal
language : en
Publisher: International Monetary Fund
Release Date : 2023-08-04
Panel Nowcasting For Countries Whose Quarterly Gdps Are Unavailable written by Omer Faruk Akbal and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
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.
Intelligent Data Analysis For Covid 19 Pandemic
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Author : M. Niranjanamurthy
language : en
Publisher: Springer Nature
Release Date : 2021-06-22
Intelligent Data Analysis For Covid 19 Pandemic written by M. Niranjanamurthy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Technology & Engineering categories.
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.
Impact Of Ai And Data Science In Response To Coronavirus Pandemic
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Author : Sushruta Mishra
language : en
Publisher: Springer Nature
Release Date : 2021-07-22
Impact Of Ai And Data Science In Response To Coronavirus Pandemic written by Sushruta Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Technology & Engineering categories.
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.
Computational Modeling And Data Analysis In Covid 19 Research
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Author : Chhabi Rani Panigrahi
language : en
Publisher: CRC Press
Release Date : 2021-05-09
Computational Modeling And Data Analysis In Covid 19 Research written by Chhabi Rani Panigrahi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-09 with Medical categories.
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.
Gendered Impacts Of Covid 19 Insights From 7 Countries In Sub Saharan Africa And South Asia
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Author : Alvi, Muzna Fatima
language : en
Publisher: Intl Food Policy Res Inst
Release Date : 2022-02-18
Gendered Impacts Of Covid 19 Insights From 7 Countries In Sub Saharan Africa And South Asia written by Alvi, Muzna Fatima and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-18 with Political Science categories.
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.
Practical Macroeconomics For Non Economists
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Author : Michael P. Niemira
language : en
Publisher: Taylor & Francis
Release Date : 2023-07-10
Practical Macroeconomics For Non Economists written by Michael P. Niemira and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with Business & Economics categories.
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.
Using Supervised Machine Learning And Empirical Bayesian Kriging To Reveal Correlates And Patterns Of Covid 19 Disease Outbreak In Sub Saharan Africa
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Author : Amobi Onovo
language : en
Publisher:
Release Date : 2020
Using Supervised Machine Learning And Empirical Bayesian Kriging To Reveal Correlates And Patterns Of Covid 19 Disease Outbreak In Sub Saharan Africa written by Amobi Onovo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Introduction: Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that was first reported in Wuhan, China, and has subsequently spread worldwide. Knowledge of coronavirus-related risk factors can help countries build more systematic and successful responses to COVID-19 disease outbreak. Here we used Supervised Machine Learning and Empirical Bayesian Kriging (EBK) techniques to reveal correlates and patterns of COVID-19 Disease outbreak in sub-Saharan Africa (SSA).Methods: We analyzed time series aggregate data compiled by Johns Hopkins University on the outbreak of COVID-19 disease across SSA. COVID-19 data was merged with additional data on socio-demographic and health indicator survey data for 39 of SSA's 48 countries that reported confirmed cases and deaths from coronavirus between February 28, 2020 through March 26, 2020. We used supervised machine learning algorithm, Lasso for variable selection and statistical inference. EBK was used to also create a raster estimating the spatial distribution of COVID-19 disease outbreak.Results: The lasso Cross-fit partialing out predictive model ascertained seven variables significantly associated with the risk of coronavirus infection (i.e. new HIV infections among pediatric, adolescent, and middle-aged adult PLHIV, time (days), pneumococcal conjugate-based vaccine, incidence of malaria and diarrhea treatment). Our study indicates, the doubling time in new coronavirus cases was 3 days. The steady three-day decrease in coronavirus outbreak rate of change (ROC) from 37% on March 23, 2020 to 23% on March 26, 2020 indicates the positive impact of countries' steps to stymie the outbreak. The interpolated maps show that coronavirus is rising every day and appears to be severely confined in South Africa. In the West African region (i.e. Burkina Faso, Ghana, Senegal, Cote d'Iviore, Cameroon, and Nigeria), we predict that new cases and deaths from the virus are most likely to increase.Interpretation: Integrated and efficiently delivered interventions to reduce HIV, pneumonia, malaria and diarrhea, are essential to accelerating global health efforts. Scaling up screening and increasing COVID-19 testing capacity across SSA countries can help provide better understanding on how the pandemic is progressing and possibly ensure a sustained decline in the ROC of coronavirus outbreak.