Main description:

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners.

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

Contents:

Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 PandemicPramit Pandit , K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami , Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi , Rahul Thangeda , Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi , Anand Bhushan Pandey , Arun Kumar Singh , K. K. Mishra , Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

Chapter 8: Machine learning approaches for COVID 19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 9: Smart sensing for COVID 19 Pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters

Arianne Sarmento Torcate , Flavio Secco Fonseca , Antonio Ravely. T. Lima , Flaviano Palmeira Santos , Tassia D. Muniz S. Oliveira , Maira Araujo de Santana , Juliana Carneiro Gomes , Clarisse Lins de Lima , Valter Augusto de Freitas Barbosa , Ricardo Emmanuel de Souza , Wellington Pinheiro dos Santos

Chapter 12: Bioinformatics in Diagnosis of Covid-19

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques

Bhimavarapu Usharani

Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data

Sitanath Biswas, Sujata Dash

Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning

Maira Araujo de Santana , Juliana Carneiro Gomes , Valter Augusto de Freitas Barbosa , Clarisse Lins de Lima , Jonathan Bandeira , Meuser Jorge Silva Valenca , Ricardo Emmanuel de Souza, Aras Ismael Masood , Wellington Pinheiro dos Santos

Chapter 16: Analysis of Blockchain Backed Covid19 Data

Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram

Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review

Clarisse Lins de Lima , Ana Clara Gomes da Silva , Cecilia Cordeiro da Silva , Giselle Machado Magalhaes Moreno , Abel Guilhermino da Silva Filho , Anwar Musah , Aisha Aldosery , Livia Dutra , Tercio Ambrizzi , Iuri Valerio Graciano Borges , Merve Tunali , Selma Basibuyuk , Orhan Yenigun , Tiago Lima Massoni , Kate Jones , Luiza Campos , Patty Kostkova , Wellington Pinheiro dos Santos

Chapter 18: Machine learning approaches for temporal and spatio-temporal Covid-19 forecasting: a brief review and a contribution

Ana Clara Gomes da Silva , Clarisse Lins de Lima , Cecilia Cordeiro da Silva , Giselle Machado Magalhaes Moreno , Eduardo Luiz Silva , Gabriel Souza Marques , Lucas Job Brito de Araujo , Luiz Antonio Albuquerque Junior , Samuel Barbosa Jatoba de Souza , Maira Araujo de Santana , Juliana Carneiro Gomes , Valter Augusto de Freitas Barbosa , Anwar Musah , Patty Kostkova , Abel Guilhermino da Silva Filho , Wellington Pinheiro dos Santos

Chapter 19: Image Reconstruction for COVID-19 using Multi-frequency Electrical Impedance Tomography

Julia Grasiela Busarello Wolff, David William Cordeiro Marcondes, Wellington Pinheiro dos Santos, Pedro Bertemes-Filho