Sustainability Measures for COVID-19 Pandemic

This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.

Section-1

Applications and Algorithms for Sustainability

Chapter 1:  Artificial Intelligence and Machine Learning for handling pandemic challenges

Chapter 3: Internet of Things & Web Services for handling pandemic challenges

Chapter 4: Cloud-based framework for social media analysis

Section-2

Monitoring & Analysis of Pandemic Situation for Sustainability

 Chapter 5: Applying Pattern recognition in epidemic risk analysis

Chapter 6: Predicting the risk of infection and treatment outcomes

Chapter 8: Mental health decline during corona virus outbreak

Section-3

Sustainability Measures in Current and Future Situation

Chapter 10: Public Health Preparedness in the pandemic situations

Chapter 11: Economical Impact & measures of Corona Regime

Chapter 12: Future Impact & measures of Corona Virus influence on Environment.

Section-4

Case Study on Sustainable Solutions for COVID-19

Dr. Rashmi Agrawal is currently working as Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. She is book series editor of Innovations in Big Data and Machine Learning, CRC Press, Taylor and Francis group, and Advances in Cybersecurity in Wiley. She has authored/co-authored many research papers in peer-reviewed national/international journals. Her research interests are in the area of sentiment analysis, educational data mining, Internet of things, brain–computer interface, and natural language processing.