Sustainability Measures for COVID-19 Pandemic

1. Auflage 2021
ISBN: 978-981-16-3229-7
Verlag: Springer Nature Singapore

Buch, Englisch, 274 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Agrawal, Rashmi

Goyal, Lalit Mohan

Mittal, Mamta

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Internet of Things and Web Services for handing pandemic challenges.- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India.- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of Covid-19.- A Study and Novel AI/ML-based Framework to Detect COVID-19 virus using Smartphone Embedded Sensors.- Transmission Modelling on COVID-19 Pandemic and its Challenges.- Effect of Covid19 pandemic on mental health: an under-realized sociological enigma.- Predicting the Covid-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning.- Social Challenges and Consequences of Covid-19.- Economic Impact & measures of Corona Regime.- Modelling the Impact of Various Treatment and Prevention Tact’s on COVID-19 Worldwide.- Understanding Emotional Health Sustainability amidst COVID-19 imposed Lockdown.- Industry 4.0 technologies and their applications in fighting Covid-19.- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients.

Über Autor(innen)

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. 

Dr. Mamta Mittal obtained her Ph.D. from Thapar University Patiala in Computer Science and Engineering. Currently, she is working at G.B. PANT Government Engineering College, Okhla, New Delhi (under Government of NCT Delhi). Her research areas include data mining, big data, and machine learning. Dr. Lalit Mohan Goyal obtained his Ph.D. from Jamia Millia Islamia, NewDelhi. He has 17 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. Currently, he is working at J. C. Bose Univ. of Sc. & Tech, YMCA, Faridabad in the Department of Computer Engineering.