Health Informatics and Technological Solutions for Coronavirus (COVID-19)

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Health Informatics and Technological Solutions for Coronavirus (COVID-19)

  • 言語:ENG
  • ISBN:9780367751210
  • eISBN:9781000369731

ファイル: /

Description

This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment.

The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book

  • discusses fundamental aspects and latest research in the field of COVID-19
  • covers diagnostics techniques in detail
  • provides overview of the symptoms, preventions, and treatments related to COVID-19
  • discusses android-based mobile applications helpful in spreading awareness of COVID-19

Table of Contents

Chapter 1 Corona Virus Disease (COVID-19) Pandemic: Globalization to

Localization

[Manish Tongo and Smita Nirkhi]

Chapter 2 Enrich to Rich・an Indigenous Model to Combat COVID-19

[B.M. Hardas and N.S. Damle]

Chapter 3 An Overview of Evolution, Transmission, Detection and

Diagnosis for the Way Out of Corona Virus

[V. Dhinakaran, M. Varsha Shree, Suman Lata Tripathi, and

Meenakashi Sharma]

Chapter 4 Coronavirus: An Overview of Genetics and Transmission Stages

[Neha Gupta and Shayan Ahmed]

Chapter 5 Presumable Strategies to Combat the COVID-19

Deleterious Effects

[Harshit Agarwal, Shakti Bhushan, Pooja Pant,

Vandana Meena, and Nupur Gupta]

Chapter 6 An Efficient Control Strategy for Prevention and Identification

of COVID-19 Pandemic Disease

[M. Parimaladevi, T. Sathya, V. Gowrishankar,

G. Boopathi Raja, and S. Nithya]

Chapter 7 Strategies for Prevention of COVID-19

[Satyendra Pratap Singh, Mahak Nischal, and Aditi Saxena]

Chapter 8 Strategies for Prevention of Coronavirus Disease

[M. Sudha, R. Subasri, A. Dinesh Karthik, and A. Poongothai]

Chapter 9 An Exploratory Study to Analyze the Impact of COVID-19

on the Daily Lives of People: A Focus Group Discussion

[Surbhi, Nirupuma Yadav, and Ashwini Kumar]

Chapter 10 Role of Modern Technologies in Treating of COVID-19

[V. Dhinakaran, R. Surendran, M. Varsha Shree, and

Suman Lata Tripathi]

Chapter 11 Coronavirus Statistics: With Special Reference to Tamil Nadu

[K. Vijayakumar, A. Dinesh Karthik, and A. Sivasankari]

Chapter 12 The Impact of COVID-19 on Consumer: Digital Marketing of

the New Normal in Indonesia

[Seprianti Eka Putri]

Chapter 13 Epidemiological Analysis of an Outbreak of Coronavirus

(COVID-19) Disease in the World

[Gaurav Kumar and Krishan Arora]

Chapter 14 Prediction of COVID-19 in India Using Machine Learning Tools:

A Case Study

[Pooja and Karan Veer]

Chapter 15 Preventive Measures for Corona Virus Considering Different

Perspectives in Indian Conditions

[Saumyadip Hazra, Abhimanyu Kumar, Souvik Ganguli, and

Sahil Virk]

Chapter 16 IoT-Based Automatic Corona Virus Detection and

Monitoring System

[Dipak P. Patil, Amit Mishra, and Tushar H. Jaware]

Chapter 17 Rapid Detection of COVID-19 Using FET and

MOSFET Biosensors

[Rahul Koshti and Pravin Wararkar]

Chapter 18 Progress of COVID-19 Epidemic in India

[Pooja Pathak, Avinash Dubey, and Yash Srivastava]

Chapter 19 Region of Interest Detection in COVID-19 CT Images Using

Neutrosophic Logic

[S. N. Kumar, A. Lenin Fred, L. R. Jonisha Miriam, Ajay Kumar H.,

Parasuraman Padmanabhan, and Balazs Gulyas]

Chapter 20 Tracking the COVID-19 Suspected Cases through

Web Application

[S. Saiteja, Sandeep Kumar, and C. Andy Jason]

Chapter 21 Biomedical Imaging and Sensor Fusion

[Satyendra Pratap Singh and Shalini Soman]

Chapter 22 Application of Artificial Intelligence for Coronavirus (COVID-19)

Disease Management: A Preliminary Review

[Saumyadip Hazra, Abhimanyu Kumar, and Souvik Ganguli]

Chapter 23 Technology and Innovation in COVID-19 Pandemic Response

in the Philippines

[Miriam Caryl Carada and Ginbert Permejo Cuaton]

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