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Titlebook: Resistance to COVID-19 Vaccination; Drivers, Impact on H Stephanie Rossouw,Talita Greyling Book 2024 The Editor(s) (if applicable) and The

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书目名称Resistance to COVID-19 Vaccination
副标题Drivers, Impact on H
编辑Stephanie Rossouw,Talita Greyling
视频video
概述Creates an understanding of COVID-19 vaccine hesitancy.Applies machine learning in identifying positive attitudes towards the COVID-19 vaccine.Empirically determines the role of happiness in future up
丛书名称Human Well-Being Research and Policy Making
图书封面Titlebook: Resistance to COVID-19 Vaccination; Drivers, Impact on H Stephanie Rossouw,Talita Greyling Book 2024 The Editor(s) (if applicable) and The
描述.This book presents advanced methodologies for analyzing attitudes towards the COVID-19 vaccine across 10 countries spanning both the Northern and Southern hemispheres, employing cutting-edge Big Data and Fourth Industrial Revolution (4IR) techniques. Serving as an important resource for policymakers, it addresses attitudes towards and causes of growing vaccine hesitancy —a pressing concern identified by the World Health Organization as a top 10 global health threat. Moreover, the book sheds light on key factors associated with positive vaccine attitudes, aiming to bolster vaccine uptake rates. The authors explore the role of happiness in shaping health-related decision-making, offering actionable policy recommendations for governments. By sharing best-case practices, they equip policymakers and health officials worldwide with the necessary strategies to address future pandemics effectively..
出版日期Book 2024
关键词Policy responses to COVID-19; Effect of non-vaccination; Big data and policymaking; Vaccine hesitancy; H
版次1
doihttps://doi.org/10.1007/978-3-031-56529-8
isbn_softcover978-3-031-56531-1
isbn_ebook978-3-031-56529-8Series ISSN 2522-5367 Series E-ISSN 2522-5375
issn_series 2522-5367
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Case Studies: Evolution of the COVID-19 Pandemic in the Southern Hemisphere: Australia, New Zealand, and South Africa. Examining the evolution of the pandemic, non-pharmaceutical interventions, and vaccine rollout in these nations reveals the diverse impacts of government responses on public trust and well-being..The chapter begins by examining the multifaceted challenges
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Big Data, Big Data Analytics, and Policymaking During a Global PandemicOVID-19 crisis. Exploring various applications of Big Data analytics, including sentiment analysis, predictive modelling, and behavioural analysis, the chapter explains how high-frequency data provides unprecedented insights into human behaviour, attitudes toward government responses, and disease dy
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Vaccination Uptake, Happiness and Emotions: Using a Supervised Machine Learning Approachnity thresholds of 70% and 90% in ten countries (refer to Chaps. ., ., and . through .). We identify the most important variables contributing to high vaccination rates by utilising supervised machine learning techniques, particularly the Extreme Gradient Boosting (XGBoost) algorithm..Our analysis e
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