Details

Autor(en) / Beteiligte

• Kaklauskas, Habil Arturas,

Titel

Lessons from COVID-19 : impact on healthcare systems and technology

Ort / Verlag

London, England ; : Elsevier,

Erscheinungsjahr

[2022]

Link zum Volltext

• Elsevier Books AutoHoldings

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references and index.
• Intro -- Lessons from COVID-19: Impact on Healthcare Systems and Technology -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- References -- Acknowledgments -- Chapter One: COVID-19: Origin, epidemiology, virology, pathogenesis, and treatment -- 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 -- 6.1. Viral RNA polymerase inhibitors/RNA synthetase inhibitors -- 6.2. Inhibitors of viral protein synthesis -- 6.3. Immunomodulators -- 7. Potential sites for the target for vaccine and drug development -- 8. Conclusion -- References -- Chapter Two: Coronavirus reinfections: An outlook on evidences and effects -- 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 -- 7.1. Asymptomatic or pre-symptomatic infection of COVID-19 -- 7.2. Mild infection of COVID-19 -- 7.3. Moderate infection of COVID-19 -- 7.4. Severe infection of COVID-19 -- 7.5. Critical infection of COVID-19 -- 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 ... -- 1. Introduction -- 2. Materials and methods -- 2.1. Basic mudras for health care -- 2.1.1. Gyan mudra -- 2.1.2. Vayu mudra.
• 2.1.3. Varuna mudra -- 2.1.4. Surya mudra -- 2.1.5. Prithvi mudra -- 2.1.6. Shunya mudra -- 2.1.7. Apana mudra -- 2.2. Mudras and breathing exercise for improving immunity -- 2.2.1. Apana vayu mudra -- 2.2.2. Prana mudra -- 2.2.3. Adhi mudra -- 2.2.4. Garuda mudra -- 2.2.5. Asthma mudra -- 2.2.6. Aswini mudra -- 2.2.7. Bronchial mudra -- 2.2.8. Nadi Shuddi pranayama -- 3. Proposed yoga health package model -- 4. Results and discussion -- 4.1. Implications of the study -- 5. Conclusion -- Appendix -- Chapter Three. References -- References -- Chapter Four: Blockchain: Opportunities in the healthcare sector and its uses in COVID-19 -- 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 -- 1. Introduction: SARS-COVID-19 -- 1.1. Pathophysiology of COVID-19: Infection, interactions -- 2. COVID-19 and cancer -- 2.1. COVID-19 and breast cancer -- 2.2. COVID-19 and lung cancer -- 2.3. COVID-19 and the hematologic neoplasms and malignancies -- 3. COVID-19 and HIV -- 3.1. The epidemiology of COVID-19 in PLWH -- 3.2. Role of interferons in natural defense to SARS-CoV-2 proliferations in PLWH -- 3.3. Antibody generation against SARS-CoV-2 and potential threats in PLWH -- 3.4. Challenges of SARS-CoV-2 diagnosis in PLWH -- 3.5. Management of COVID-19 and HIV co-infections.
• 3.6. Interrelationship between HIV infection and SARS-CoV-2 vaccines -- 3.7. Future scope of work in coinfection of SARS-CoV-2 and HIV -- 4. Effect of COVID-19 and current treatment or management strategies for mentally ill patients -- 4.1. Impact of COVID-19 on mentally ill patients -- 4.2. Treatment of mentally ill patients during COVID-19 -- 5. COVID-19 and Ayurvedas holistic lifestyle approach -- 6. Softwares/web tools/digital platforms used for COVID-19 management -- 7. Concluding remarks -- Chapter Five. References -- References -- Chapter Six: Revisiting the efficacy of policies in the Indian primary healthcare sector: Interventions and approaches du ... -- 1. Introduction -- 1.1. COVID-19 and the world -- 1.2. Indias measures to fight COVID-19 -- 1.3. India fights COVID-19 with computer science and software engineering -- 2. Methodology -- 3. Journey of PHC from conceptualization to the reality -- 3.1. Challenges faced by PHC during COVID-19 -- 3.2. Role of PHC to mitigate the crisis -- 3.3. Vaccination drive and PHCs role -- 3.4. How the present crisis can be an opportunity for change in the healthcare industry -- 4. Discussion -- 5. Conclusion -- Glossary -- References -- Further reading -- Chapter Seven: Benefits and use of blockchain technology to support supply chain during COVID-19 -- 1. Introduction -- 2. Introducing blockchain basic concepts -- 2.1. Distributed databases -- 2.2. Distributed database security -- 2.3. Elements of a blockchain -- 2.4. Blockchain architecture -- 2.5. Blockchain operation -- 3. Supply chain explained -- 3.1. Supply chain basic concepts -- 3.2. Blockchain in supply chain management -- 4. Blockchain-based model for vaccine supply chain -- 4.1. Applications of Blockchain technology in healthcare -- 4.2. Vaccine characteristics -- 4.3. Vaccine trust and the limits of information.
• 4.4. Blockchain solutions for vaccine administration -- 5. Conclusion -- References -- Chapter Eight: Novel coronavirus disease (COVID-19): Emergence, early infection rate, and deployment strategies for preve ... -- 1. Introduction -- 2. Various epidemics and pandemics in the history of human civilization -- 2.1. Spanish flu -- 2.2. Plague -- 2.3. Cholera -- 2.4. Smallpox -- 2.5. Severe acute respiratory syndrome -- 2.6. H1N1 influenza -- 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 -- 7.1. Screening to find suspected cases -- 7.2. Detecting and monitoring the rate of spreading -- 7.3. Other preventive measures -- 8. Potential dietary remedies, herbal medicines, and allopathic therapy for COVID-19 -- 8.1. Vitamins -- 8.2. Omega (Omega) 3 fatty acids -- 8.3. Selenium -- 8.4. Zinc -- 8.5. Curcumin -- 8.6. Probiotics -- 8.7. Chinese medicines -- 8.8. Nigella sativa (N. sativa) compounds -- 8.9. Application of allopathic therapy -- 9. Conclusions -- Chapter Eight. References -- References -- Chapter Nine: Challenges and opportunities in the provision of mental health care services during the COVID-19 pandemic a ... -- 1. Introduction -- 2. WHO guidelines on mental health response during COVID-19 pandemic -- 3. The delivery of psychological services through online channels -- 3.1. Methodology -- 3.2. Progress in telehealth -- 3.3. Challenges in telehealth services -- 3.3.1. Therapeutic alliance -- 3.3.2. Treatment approaches -- 3.3.3. Access -- 3.3.4. Connectivity, data, hardware, and software -- 3.3.5. Blurred boundaries -- 3.3.6. Privacy and confidentiality -- 3.3.7. Multiple relationships.
• 3.3.8. Clothing and grooming -- 3.3.9. Competencies -- 4. Opportunities in telehealth services -- 4.1. Opportunities in patient care -- 4.2. Opportunities in the education and training of psychologists -- 5. Lessons for the future -- 6. Conclusions -- References -- Chapter Ten: Applications of machine learning approaches to combat COVID-19: A survey -- 1. Introduction -- 2. Background -- 2.1. Pandemic and COVID-19 -- 2.2. Applications of AI and ML in emerging diseases -- 2.2.1. AI applications at molecular scale -- 2.2.2. AI applications at clinical scale -- 2.2.3. Social scale: Infodemiology and epidemiology -- 3. Applications of AI and ML in COVID-19 -- 3.1. Detection and diagnosis -- 3.2. Treatment monitoring -- 3.3. Prediction of disease and mortality -- 3.4. Drugs and vaccines preparation -- 3.5. Drugs repurposing -- 3.6. Social awareness and control by the Internet -- 4. Challenges and future directions -- 4.1. Challenges -- 4.2. Future directions -- 5. Conclusions -- References -- Chapter Eleven: Machine learning modeling techniques and statistical projections to predict the outbreak of COVID-19 with ... -- 1. Introduction -- 2. Literature survey -- 3. Predicting and analyzing COVID-19 outbreak -- 3.1. Machine learning regression models to predict the outbreak of COVID-19 -- 3.1.1. Linear regression model -- 3.1.2. Least absolute shrinkage and selection operator model -- 3.1.3. Ridge model -- 3.1.4. Elastic-Net model -- 3.1.5. Random Forest model -- 3.1.6. Adaptive Boosting model -- 3.1.7. Light Gradient Boosted Machine model -- 3.1.8. Extreme Gradient Boosting model -- 3.2. Performance metrics -- 4. Prophet model to predict confirmed cases of COVID-19 with implication to India -- Prophet Model Parameters: -- 4.1. Fine tuning lock down in India on Prophet model -- 4.2. Training hyper parameters in the Prophet model.
• 4.3. Execution time complexity of the machine learning models and the Prophet model.
• 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 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.
• Description based on print version record.