Analysis of COVID-19 Impact on Global Economy: A Statistical Approach

Thesis Abstract

Abstract
The outbreak of the COVID-19 pandemic in late 2019 has had far-reaching consequences on the global economy, disrupting supply chains, trade flows, and financial markets. This thesis presents an in-depth analysis of the impact of COVID-19 on the global economy using a statistical approach. The study aims to provide valuable insights into the economic consequences of the pandemic and offer potential strategies to mitigate its adverse effects. Chapter One provides the foundation for the research, starting with an Introduction that outlines the significance of studying the COVID-19 impact on the global economy. The Background of the Study explores the context of the pandemic and its implications for various economic sectors. The Problem Statement identifies the gaps in existing literature regarding the economic impact of COVID-19. The Objectives of the Study articulate the specific goals and research questions that guide this investigation. The Limitations of the Study acknowledge the constraints and challenges faced in conducting this research. The Scope of the Study defines the boundaries within which the research will be conducted, focusing on specific regions, industries, or economic indicators. The Significance of the Study highlights the potential contributions and implications of the research findings. The Structure of the Thesis outlines the organization and flow of the subsequent chapters. Finally, the Definition of Terms clarifies key concepts and terms used throughout the thesis. Chapter Two presents a comprehensive Literature Review that synthesizes existing research on the economic impact of pandemics, specifically focusing on COVID-19. The review examines various studies, reports, and analyses to provide a holistic understanding of the economic consequences of the pandemic on a global scale. The chapter critically evaluates different perspectives, methodologies, and findings to inform the research framework and hypotheses. Chapter Three details the Research Methodology employed in this study, including the research design, data collection methods, sampling techniques, and statistical analysis tools. The chapter outlines the steps taken to collect, process, and analyze data related to the economic impact of COVID-19. It also describes the statistical models and techniques used to interpret the data and draw meaningful conclusions. Chapter Four presents the Discussion of Findings, where the results of the statistical analysis are interpreted and discussed in the context of the research objectives. The chapter explores the specific economic indicators affected by COVID-19, identifies patterns and trends in the data, and examines the implications for global economic recovery. It also discusses the limitations of the study and suggests areas for future research. Chapter Five concludes the thesis with a Summary of the key findings, conclusions drawn from the research, and recommendations for policymakers, businesses, and other stakeholders. The chapter reflects on the significance of the study in the context of the ongoing COVID-19 crisis and offers insights into potential strategies to build a more resilient global economy in a post-pandemic world.