Home Ayurvedic Remedies For Coronavirus Covid 19
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Cases on Emerging Market Responses to the COVID-19 Pandemic
The COVID-19 pandemic was an extreme exogenous shock that had an adverse impact on every facet of human lives, including business. However, the pandemic has also provided an opportunity for companies to alter their business models by adopting digitalization, innovative customer interfaces, and innovative cost and revenue structures. In order to continue not only surviving but thriving through the effects of the pandemic, businesses will have to further improve and realign their models to engage clients, reskill their workforce, and advance the use of supportive technologies. Cases on Emerging Market Responses to the COVID-19 Pandemic provides a set of case studies on corporate and functional strategies adopted by firms irrespective of their industry, ownership type, or size. It highlights the innovative approaches of dealing with crises to survive and sustain the performances that better suit the unique requirements of the pandemic. Covering topics such as crisis management, innovative management strategy, and social entrepreneurship, this book is an essential resource for business leaders, government organizations, hospital administration, educational administration, computer scientists, researchers, and academicians.
Handbook of Social Sciences and Global Public Health
Author: Pranee Liamputtong
language: en
Publisher: Springer Nature
Release Date: 2023-09-09
This handbook highlights the relevance of the social sciences in global public health and their significantly crucial role in the explanation of health and illness in different population groups, the improvement of health, and the prevention of illnesses around the world. Knowledge generated via social science theories and research methodologies allows healthcare providers, policy-makers, and politicians to understand and appreciate the lived experience of their people, and to provide sensitive health and social care to them at a time of most need. Social sciences, such as medical sociology, medical anthropology, social psychology, and public health are the disciplines that examine the sociocultural causes and consequences of health and illness. It is evident that biomedicine cannot be the only answer to improving the health of people. What makes social sciences important in global public health is the critical role social, cultural, economic, and political factors play in determining or influencing the health of individuals, communities, and the larger society and nation. This handbook is comprehensive in its nature and contents, which range from a more disciplinary-based approach and theoretical and methodological frameworks to different aspects of global public health. It covers: Discussions of the social science disciplines and their essence, concepts, and theories relating to global public health Theoretical frameworks in social sciences that can be used to explain health and illness in populations Methodological inquiries that social science researchers can use to examine global public health issues and understand social issues relating to health in different population groups and regions Examples of social science research in global public health areas and concerns as well as population groups The Handbook of Social Sciences and Global Public Health is a useful reference for students, researchers, lecturers, practitioners, and policymakers in global health, public health, and social science disciplines; and libraries in universities and health and social care institutions. It offers readers a good understanding of the issues that can impact the health and well-being of people in society, which may lead to culturally sensitive health and social care for people that ultimately will lead to a more equitable society worldwide.
Text and Social Media Analytics for Fake News and Hate Speech Detection
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.