Download or read book Understanding Pandemic Challenges: Data-Driven and Computational Approaches (UUM Press) written by Ros Idayuwati Alaudin and published by UUM Press. This book was released on 2024-04-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: In adherence to a data-driven approach within the realm of scientific perspectives, this work comprises five chapters that delve into various aspects of COVID-19. These chapters range from modelling new COVID-19 cases to examining the behavioural facets tied to the disease. They explore the intricate relationship between COVID-19 cases, the multifaceted impacts of the virus, the evaluation of the nation’s border openness to foreigners, the recovery rates of COVID-19 patients, and the continuous monitoring of new cases. The subsequent three chapters, grouped under the theme of scientific perspectives on lifestyle, concentrate on the repercussions of COVID-19 on life insurance sales, alternative therapies and treatments, as well as the dietary habits and lifestyles of undergraduate university students before and during the Movement Control Order (MCO) period. The final trio of chapters, falling under the innovative ideas on learning perspective, delves into the ramifications of online learning on students’ educational experiences during the COVID-19 pandemic. These chapters explore the levels of student motivation in remote learning and optimal classroom layout management amid the pandemic. This book holds value for a diverse audience, including policymakers, researchers, and students aiming to understand the impact of the epidemic on the present state of affairs.