This book shows how psychological aspects of individuals and of couple relationships can work as both protective or risk factors to the health of diabetes patients and their partners. Departing from a social psychologic perspective, it analyzes how individual attributes and personal relationships influence health, focusing on the impacts that diabetes as a chronic-degenerative disease has on the psychological state of the patient and on their most immediate social context. The volume is divided in three parts: the first focuses on the patient, the second on the partner and the third on the couple relationship. The first part examines how attachment styles, optimism, resilience, self-efficacy in emotional regulation, loneliness and rumination impact the stress experienced by the diabetic patient. The second part analyzes how the partner's altruism, affectivity, jealousy, criticism or indifference affects the physical health of the diabetic patient. Finally, the third part explores the relationship between negative emotions and the couple's motives of conflict, as well as the effects of the communication styles used, emotional warmth and empathy in the satisfaction with the relationship in couples where one of the members is a diabetes patient. Diabetes and Couple Relationship: Protective and Risk Factors will be a valuable resource for researchers, students and professionals in the fields of health and clinical psychology, social psychology and public health interested in better understanding how personal characteristics and relationships can affect the physical and psychological health of chronic disease patients, as well as their well-being and quality of life.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

This open access book introduces the National Health Insurance (NHI) system of Taiwan with a particular emphasis on its application of digital technology to improve healthcare access and quality. The authors explicate how Taiwan integrates its strong Information and Communications Technology (ICT) industry with 5G to construct an information system that facilitates medical information exchange, collects data for planning and research, refines medical claims review procedures and even assists in fighting COVID-19. Taiwan's NHI, launched in 1995, is a single-payer system funded primarily through payroll-based premiums. It covers all citizens and foreign residents with the same comprehensive benefits without the long waiting times seen in other single-payer systems. Though premium rate adjustment and various reforms were carried out in 2010, the NHI finds itself at a crossroads over its financial stability. With the advancement of technologies and an aging population, it faces challenges of expanding coverage to newly developed treatments and diagnosis methods and applying the latest innovations to deliver telemedicine and more patient-centered services. The NHI, like the national health systems of other countries, also needs to address the privacy concerns of the personal health data it collects and the issues regarding opening this data for research or commercial use. In this book, the 12 chapters cover the history, characteristics, current status, innovations and future reform plans of the NHI in the digital era. Topics explored include: Income Strategy Payment Structure Pursuing Health Equity Infrastructure of the Medical Information System Innovative Applications of the Medical Information Applications of Big Data and Artificial Intelligence Digital Health Care in Taiwan is essential reading for academic researchers and students in healthcare administration, health policy, health systems research, and health services delivery, as well as policymakers and public officials in relevant government departments. It also would appeal to academics, practitioners, and other professionals in public health, health sciences, social welfare, and health and biotechnology law.