Global Healthcare Disasters

Predicting the Unpredictable with Emerging Technologies

Adarsh Garg, D. P. Goyal

• Publisher: Apple Academic Press
• Year: 2022
• Print ISBN: 9781774910054
• eBook ISBN: 9781000572810
• Edition: 1
• Topic: Computer Science
• Subtopic: Clinical Medicine
• Index: Computer Science

The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today's modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few.

This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis.

This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.

Table of contents

• Cover Page
• Half Title Page
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Contributors
• Abbreviations
• Acknowledgments
• Preface
• 1. Role of Knowledge Graphs in Analyzing Epidemics and Health Disasters
• 2. Forecasting of COVID-19 with the ARIMA Model in India as a Preventive Measure of Healthcare Catastrophe
• 3. Role of Artificial Intelligence in the Era of COVID-19 to Improve Hospital Management
• 4. Challenges of Global Healthcare Disasters
• 5. Healthcare Disaster Prediction with IoT, Data Analytics, and Machine Learning
• 6. Effectiveness of Aarogya Setu Mobile Application During COVID-19 Healthcare Management: A Technology Acceptance Model-Based Approach
• 7. CoReS-Respiratory Strength Predicting Framework Using Noninvasive Technology for Remote Monitoring During Heath Disasters
• 8. Exploring the Scope of Policy Issues Influencing IoT Health and Big Data: A Structured Review
• 9. COVID-19 Disaster Healthcare Management System in Rural Areas
• 10. Sentiment Analysis for Sustainable Healthcare During Pandemic Outbreak: Lessons Learned from COVID-19
• 11. Design Schema to Offer Security and Confidentiality to Healthcare Data in Cloud Environment
• Index