Integrated Science Of Global Epidemics

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Integrated Science of Global Epidemics

The “Integrated Science of Global Epidemics” is the new proposed volume of Integrated Science Book series, aiming to publish the results of the most updated ideas and reviews on Global Epidemics. The whole world is suffering from complex problems, border less problems and global solution should be developed. The Integrated Science of Global Epidemics aims to highlight the combination of different disciplines, including formal sciences, physical-chemical sciences and engineering, biological sciences, medical sciences, and social sciences, to deal with complex problems such as global epidemics. This contributed volume could be used as guidelines for the entire scientific community and policy makers to successfully face these global threats. Chapter 27 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
The Landscape of Global Health Inequity

This book presents a unique overview of significant disparities in health, which exist within complex and multifaceted contexts across different regions. In the twenty-first century, global health inequity presents substantial health challenges, encompassing diverse and interconnected ramifications across socioeconomic, cultural, and political dimensions. Additionally, it thoroughly explores the interconnected and multifaceted underlying factors that are widespread in developing nations. The book puts forth essential and comprehensive recommendations that call for collaborative efforts at multiple levels, including global, national, and local, to identify and address issues effectively.
Surveillance, Prevention, and Control of Infectious Diseases

Author: Muhammad E. H. Chowdhury
language: en
Publisher: Springer Nature
Release Date: 2024-06-30
This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases. Authored by leading experts in the field, this book offers a comprehensive overview of the latest advancements, challenges, and applications of AI in combating infectious diseases. With a unique emphasis on big data, wearable data, and computer vision, the book presents original research works that showcase innovative approaches to leveraging AI for disease surveillance, screening, and severity stratification. Through a combination of review chapters summarizing the current state of the field and novel applications of AI technology, readers gain valuable insights into the potential of AI in addressing major life-threatening infectious diseases identified by the UN Sustainable Development Goal 3. The book's structure ensures a balanced blend of theoretical foundations and practical applications, making it accessible to both researchers and healthcare professionals. By exploring cutting-edge methodologies and case studies, the book equips readers with the knowledge and tools needed to harness the power of AI in the fight against infectious diseases, ultimately contributing to global efforts to improve public health outcomes. With its interdisciplinary approach and focus on AI-driven solutions, " Surveillance, prevention, and control of infectious diseases: An AI perspective" serves as an invaluable resource for researchers, practitioners, and policymakers seeking to stay abreast of the latest developments in this rapidly evolving field. Whether exploring the role of wearable devices in disease monitoring or examining the potential of computer vision for early detection, this book offers a comprehensive overview of AI applications that have the potential to revolutionize infectious disease management and prevention strategies.