Sustainability Measures for COVID-19 Pandemic / / edited by Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (278 pages)
• Disciplina: 616.2414
• Soggetto topico: Computational intelligence; Sustainability; Public health; Medicine, Preventive; Health promotion; Artificial intelligence; Internet of things; Computational Intelligence; Public Health; Health Promotion and Disease Prevention; Artificial Intelligence; Internet of Things
• Persona (resp. second.): MittalMamta, Ph. D.; AgrawalRashmi <1978->; GoyalLalit Mohan
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Sustainability measures for COVID-19 pandemic
• ISBN: 981-16-3227-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910508454203321
• Lo trovi qui: Univ. Federico II
• Serie: Computer Science Series