Understanding Pandemic Challenges: Data-Driven and Computational Approaches (UUM Press) by Ros Idayuwati Alaudin ( Author )
, Abdul Malek Yaakob ( Author )
, Ahmad Syafadhli Abu Bakar ( Author )
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.
UUM Press
2024-01-01
9786297582887
Computers & Technology
Hardcopy
1 KG
219
30 x 2 x 30 CM
5
3 days
English
Quantity:
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