Data Science Applications of Post-COVID-19 Psychological Disorders

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Vijayalakshmi Kakulapati, PhD – Professor, Department of Information Technology, Sreenidhi Institute of Science and Technology, Telangana, India

Series: Infectious Diseases and Microbiology
BISAC: MED022090
DOI: https://doi.org/10.52305/KRLL5890

The COVID-19 epidemic has thrown the globe into chaos as governments struggle to contain the virus’s spread. While considerable attention has been paid to health problems, reports of the social-psychological impacts of this pandemic are on the increase, ranging from mental distress and personal disputes to racial assaults and patriotic behaviors. Moreover, these social-psychological impacts may have long-term repercussions that will likely outlast the epidemic. Globally, the physical impacts of COVID-19 may be felt. The influence of Post-COVID-19 on mental health is a subject that has not been well explored. The reaction to the Covid-19 pandemic may resemble the response to natural catastrophes or other comparable catastrophic occurrences affecting a community and may create chronic anguish in the afflicted population. The psychological reaction to the Covid-19 epidemic has been immediately recorded; in communities rarely affected, it resembles symptoms of post-traumatic stress disorder (PTSD). The unfavorable psychological effects of COVID-19, such as anxiety and depression, have been widely expected but have not yet been precisely quantified. Data science enables academics to evaluate the past and future consequences of mental diseases on the United States and worldwide populations. When the consequences are defined and substantiated by statistics, the argument for allocating much-needed resources to mental health research and treatment accessibility is strengthened. Using data science approaches, the book contains chapters describing the influence of post-COVID-19 psychological impacts.

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Table of Contents

Preface

Chapter 1. Post-COVID-19 Mental Disorder and Its Consequences
V. Kakulapati1, Sheri Mahender Reddy2 and A. Paramasivam3
1Department of IT, Sreenidhi Institute of Science and Technology, Hyderabad, India
2MS Student, Otto-Friedrich University of Bamberg, Germany
3Department of Mechanical Engineer, Rajalakshmi Engineering College, Chennai, India

Chapter 2. Contemplating the Post-COVID Psychological Disorders in a Selective Sample Using DASS-21 and the WHO-5 Well-Being Index
Dr. G. Yogapriya1, Ar. G. Vijay Krishna2 and Dr. C. V. Subramanian3
1Associate Professor, School of Environment Architecture and Design, SRMIST, Ramapuram, India
2Associate Professor, School of Environment Architecture and Design, SRMIST, Ramapuram, India
3Professor, Faculty of Architecture and Planning, PMIST, Thanjavur, India

Chapter 3. Data Science Applications of Post-COVID-19 Mental Illness
Ch. Vijaya Bhaskar1, DSR. Murthy2, M. Nagaraju1 and Sheri Mahender Reddy3
1Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India
2Anurag University, Hyderabad, Telangana, India
3MS Student, Otto-Friedrich University of Bamberg, Germany

Chapter 4. Prediction of Mental Distress about COVID-19 among Higher Education Students in Odisha, India
Kamakhya Narain Singh1, Jibendu Kumar Mantri1, V Kakulapati2 and Chinmay Misra3
1Department of Computer Science & Applications, North Odisha University, Baripada, Odisha, India
2Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India
3School of Computer Applications, KIIT Deemed University, Bhubaneswar, Odisha, India

Chapter 5. Impact of Post-COVID Syndrome in Hospitalized Patients
Subhani Shaik1, V. Kakulapati2 and Nagagopiraju Vullam3
1Sreenidhi Institute of Science and Technology
2Yamnampet, Ghatkesar, Hyderabad, Telangana, India
3Chalapathi Institute of Technology, Guntur, Andhra Pradesh, India

Chapter 6. Computational Intelligence Models for Stress
P. Selvi Rajendran and K. R. Kartheeswari
Department of Computer Science and Engineering Hindustan Institute of Technology and Science, Tamil Nadu, India

Chapter 7. Multimodality Analysis of Psychological Disorders
 S. Chandra Sekarn1 and M. Senbagavalli2
1Professor/CSE, P. S. V. College of Engineering and Technology Krishnagiri, Tamilnadu, India
2Associate Professor/IT, Alliance College of Engg. and Design, Alliance University, Bangalore, India

Chapter 8. Mathematical Modeling and Analysis of Psychological Disorders
A. Paramasivam, P. Vidhushini and N. Arunprakash
Rajalakshmi Engineering College, Chennai, Tamil Nadu, India

Chapter 9. Impact of Post-COVID-19 on the Elderly: Emotional Stress and Effects: A Data Science Approach
Parimi Shiva Kalyan1, B. Sree Keerthi Meghana2 and Sriman Naini3
1Accenture, Hyderabad Telangana, India
2Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, Telangana, India
3Rosenheim Technical University of Applied Science, Germany

Chapter 10. Work from Home-Related Depression Analysis
R. Vasuki
Selaiyur, Chennai, India

Chapter 11. The Effect of Psychological Disorders on Students’ Academic Performance
Appiah Prince1, Alexander A. Menschikov2 and V. Kakulapati3
1,2ITMO University, Saint Petersburg, Russia
3Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India

Chapter 12. Psychological Resilience: A Conceptual Framework
Dr. Babasaheb Jadhav
Associate Professor, Dr. D. Y. Patil Vidyapeeth’s, Global Business School and Research Centre, Pune, India

Chapter 13. Challenges and Privacy Concerns Related to Mental Health
Dr. K. Shirisha
Professor, Department of CSE, Sreenidhi Institute of Science and Technology, Hyderabad, India

Chapter 14. Post-COVID Impact on Skin Allergies
Sunil Bhutada, V. Kakulapati, Rokkam Krishna Vamsi, Akkenapally Sharanya and Maddineni Mahima Chowdhary
Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India

Index

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