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Description of  How Data Can Manage Global Health Pandemics: Analyzing and Understanding Covid-19 (Himss Book Series)

In contrast to the 1918 Spanish flu pandemic which occurred in a non-digital age, the timing of the COVID-19 pandemic intersects with the digital age which is characterized by the collection and availability of large amounts of data and sophisticated technologies. Data and technology are being used to combat this digital age pandemic in ways that were not possible in the pre-digital age. Given the adverse impacts of pandemics in general and the COVID-19 pandemic in particular, it is imperative that people understand the meaning and origin of pandemics, related terms (for example, epidemic, super spreader, and patient zero), trajectory of a new disease, butterfly effect of contagious diseases, factors governing the pandemic potential of a disease, pandemic preparedness and strategies to combat a pandemic at different levels (individual, community, organizational, national, and global), role of data, data sharing, data strategy, data governance, analytics, and data visualization in managing pandemics, pandemic myths, critical success factors in managing pandemics, and lessons learnt. This book discusses these elements with special reference to COVID-19. The book does not assume any prior or specialist knowledge in pandemics, strategies, data, data governance, analytics or data visualization. This book is technology agnostic and contains a large number of illustrations and examples from COVID-19, making it easy for the readers to understand and relate to the concepts discussed in this book. On a broad level the target audience is the scientific community, policy makers and professionals across the domains of health, management, risk, strategy and data. The book is specifically beneficial for university students, academicians, professors, researchers, and industry professionals. Even the general public will find this book useful and interesting. Courses where health, pandemics, strategies, and data analytics are a part of the course curriculum. Some courses include Bachelor's and Master Degree in Information Technology, Computer Science, Data Analytics, Epidemiology, Biomedical Informatics, and Management. Read more