
Lessons from COVID-19
Impact on Healthcare Systems and Technology
- 1st Edition - June 18, 2022
- Imprint: Academic Press
- Editors: Arturas Kaklauskas, Ajith Abraham, Kingsley Okoye, Shankru Guggari
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 8 7 8 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 9 4 4 - 1
Lessons from COVID-19: Impact on Healthcare Systems and Technology uncovers the impact that COVID-19 has made on healthcare and technology industries. State-of-the-art case stud… Read more

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Request a sales quoteLessons from COVID-19: Impact on Healthcare Systems and Technology uncovers the impact that COVID-19 has made on healthcare and technology industries. State-of-the-art case studies, empirical research, and new trends in technology-mediated solution are discussed to help inform and guide readers in understanding the effects that the COVID-19 outbreak has had across healthcare and technology industries. The book discusses challenges to identify vaccines, changes in legislation on clinical trials and re-purposing of licensed drugs, effects on primary healthcare, best practices adopted by different countries to control the pandemic, and different effects on patients within diverse age groups and comorbidities.
In addition, the book covers technology-mediated solutions and infrastructures applied, digital transformations, modeling techniques, statistical projections, and the benefits and use of cloud computing and artificial intelligence. This is a valuable resource for healthcare professionals, medical doctors, researchers and graduate students from both biomedical and technological fields who are interested in learning more about the use of new technologies to fight a pandemic.
- Discusses the effects of COVID-19 on healthcare and technology
- Presents case studies and state-of-the-art research and technologies to help readers effectively understand the effects of COVID-19
- Empowers researchers to work on effective hypothesis to test the disruptions and changes that have occurred as a result of COVID-19
- Bridges practical and theoretical gaps in terms of lessons learned during COVID-19 in the healthcare and technology sectors
Graduate students, medical doctors, policy makers, researchers on medical informatics. Data scientists, computer scientists
- Cover
- Title page
- Table of Contents
- Copyright
- Contributors
- About the editors
- Preface
- References
- Acknowledgments
- Chapter One: COVID-19: Origin, epidemiology, virology, pathogenesis, and treatment
- Abstract
- 1: Introduction
- 2: Viral morphology
- 3: Viral pathogenesis
- 4: Stages of COVID-19
- 5: Laboratory diagnosis for screening and diagnosis of patients with COVID-19
- 6: Drugs used in COVID-19 till now with newer drug possibilities tried for infection
- 7: Potential sites for the target for vaccine and drug development
- 8: Conclusion
- References
- Chapter Two: Coronavirus reinfections: An outlook on evidences and effects
- Abstract
- 1: Introduction
- 2: Coronavirus reinfection
- 3: Reinfection and genome sequence
- 4: Immunopathogenesis of Coronavirus infection
- 5: Reinfection and immune response
- 6: Severity and risk of Coronavirus reinfection
- 7: Management strategies and guidelines for COVID-19 reinfection
- 8: COVID-19 reinfection and vaccine development
- 9: COVID-19 waves and reinfections
- 10: Herd immunity and COVID-19 reinfection
- 11: Prevention against COVID-19 reinfection
- 12: Implication on COVID-19 reinfection studies
- 13: Conclusion
- References
- Chapter Three: Effect of yoga mudras in improving the health of users: A precautionary measure practice in daily life for resisting the deadly COVID-19 disease
- Abstract
- Acknowledgment
- 1: Introduction
- 2: Materials and methods
- 3: Proposed yoga health package model
- 4: Results and discussion
- 5: Conclusion
- Appendix
- References
- Chapter Four: Blockchain: Opportunities in the healthcare sector and its uses in COVID-19
- Abstract
- 1: Introduction
- 2: Chapter objectives
- 3: Research design
- 4: Blockchain technology (BCT)—An overview
- 5: Challenges and opportunities in the healthcare sector
- 6: Implementation of BC in developing and developed nations
- 7: Blockchain: Uses/applications in healthcare
- 8: Blockchain: Implementation challenges and considerations in healthcare
- 9: Blockchain: Fight against COVID-19 in healthcare
- 10: Blockchain: Future in healthcare
- 11: Conclusion and recommendations
- References
- Chapter Five: COVID-19 and its impact on cancer, HIV, and mentally ill patients
- Abstract
- Acknowledgments
- 1: Introduction: SARS-COVID-19
- 2: COVID-19 and cancer
- 3: COVID-19 and HIV
- 4: Effect of COVID-19 and current treatment or management strategies for mentally ill patients
- 5: COVID-19 and Ayurveda’s holistic lifestyle approach
- 6: Softwares/web tools/digital platforms used for COVID-19 management
- 7: Concluding remarks
- References
- Chapter Six: Revisiting the efficacy of policies in the Indian primary healthcare sector: Interventions and approaches during the COVID-19 pandemic
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Journey of PHC from conceptualization to the reality
- 4: Discussion
- 5: Conclusion
- Glossary
- References
- Further reading
- Chapter Seven: Benefits and use of blockchain technology to support supply chain during COVID-19
- Abstract
- 1: Introduction
- 2: Introducing blockchain basic concepts
- 3: Supply chain explained
- 4: Blockchain-based model for vaccine supply chain
- 5: Conclusion
- References
- Chapter Eight: Novel coronavirus disease (COVID-19): Emergence, early infection rate, and deployment strategies for preventive solutions
- Abstract
- Acknowledgment
- 1: Introduction
- 2: Various epidemics and pandemics in the history of human civilization
- 3: Transmissibility and severity of COVID-19
- 4: Incubation period of COVID-19 virus
- 5: Symptoms of COVID-19
- 6: Spreading behavior of COVID-19 by PCA during the initial phase
- 7: Preventive measures taken by the top most affected countries to combat the COVID-19 during the first wave
- 8: Potential dietary remedies, herbal medicines, and allopathic therapy for COVID-19
- 9: Conclusions
- References
- Chapter Nine: Challenges and opportunities in the provision of mental health care services during the COVID-19 pandemic and beyond
- Abstract
- 1: Introduction
- 2: WHO guidelines on mental health response during COVID-19 pandemic
- 3: The delivery of psychological services through online channels
- 4: Opportunities in telehealth services
- 5: Lessons for the future
- 6: Conclusions
- References
- Chapter Ten: Applications of machine learning approaches to combat COVID-19: A survey
- Abstract
- 1: Introduction
- 2: Background
- 3: Applications of AI and ML in COVID-19
- 4: Challenges and future directions
- 5: Conclusions
- References
- Chapter Eleven: Machine learning modeling techniques and statistical projections to predict the outbreak of COVID-19 with implication to India
- Abstract
- 1: Introduction
- 2: Literature survey
- 3: Predicting and analyzing COVID-19 outbreak
- 4: Prophet model to predict confirmed cases of COVID-19 with implication to India
- 5: Discussion and implications
- 6: Conclusion
- References
- Chapter Twelve: Lexical modeling and weighted matrices for analyses of COVID-19 outbreak
- Abstract
- 1: Introduction
- 2: Related work
- 3: About COVID-19 diagnostic methods
- 4: Framework
- 5: Implementation result
- 6: Discussion
- 7: Conclusion
- 8: Future work
- References
- Further reading
- Chapter Thirteen: Design of IoT-enabled, scalable mobile application for ASHA workers in COVID-19 data management
- Abstract
- 1: Introduction
- 2: Related works
- 3: Application software developed by various other countries
- 4: Design of proposed IoT enabled device
- 5: Android package kit development
- 6: Visualization of utility of the ASHA bot app
- 7: View public details
- 8: Software and services used
- 9: Conclusions
- References
- Chapter Fourteen: Reflecting on the impact of COVID-19 on healthcare and IT sector with special emphasis on India: A collection of multifarious cases with few empirical evidences
- Abstract
- 1: Introduction
- 2: Conclusion
- References
- Further reading
- Chapter Fifteen: Modeling of cyber threat analysis and vulnerability in IoT-based healthcare systems during COVID
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Proposed model
- 4: Results and discussion
- 5: Conclusions
- References
- Further reading
- Index
- Edition: 1
- Published: June 18, 2022
- No. of pages (Paperback): 466
- No. of pages (eBook): 466
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323998789
- eBook ISBN: 9780323999441
AK
Arturas Kaklauskas
AA
Ajith Abraham
Dr. Ajith Abraham is a Pro Vice-Chancellor at Bennette University. He is the director of Machine Intelligence Research Labs (MIR Labs), Australia. MIR Labs are a not-for-profit scientific network for innovation and research excellence connecting industry and academia. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves on the editorial board of several international journals. He received his PhD in Computer Science from Monash University, Melbourne, Australia.
KO
Kingsley Okoye
SG