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COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we have come across myriad challenges during this pandemic. Scientists and developers are learning and ? nding ways to use arti? cial intelligence applications and natural language processing to comprehend and tackle this disease.

AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on ? nding how AI can be helpful in monitoring situations from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and those involved in managing a global pandemic.


Directs the attention to the smart digital healthcare system in this COVID-19 pandemic
Simulates novel investigations and how they will be beneficial in understanding the pandemic
Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scienti? skill gaps
Explains some interesting and diverse types of challenges and data-driven healthcare applications

Table of Contents
Role of Artificial Intelligence in COVID-19
Lalitha S, Bhavana H T, K N Madhusudhan, Prascheth, Harshitha

Application of 3D printing in COVID-19
M. Anantha Sunil, Sanjana T, Akshata Rai, Apoorva G Kanthi

Role of IoT and AI in Covid-19
Maligi Anantha Sunil, Sanjana T, Akhil S Raj, Abhishek A

Potential contributions of AI against COVID-19
Sreeja Sarasamma, Yashbir Singh

Dynamic Animated Plots for Better COVID Cases Analysis: Line, Bar, Bubble Plots using R Programming
Yagyanath Rimal, Vijay Singh Rathore, Sakuntala Pageni

A Comparative Study of COVID -19 Data Analysis using R Programming (a SIR Model Prediction)
Yagyanath Rimal, Bharatendra Rai, Vijay Singh Rathore, Sakuntala Pageni

Tracking and Analyzing COVID-19 pandemic using Twitter and Topic Modelling
Pradeep Gangwar, Yashbir Singh and Vrijendra Singh

Artificial Neural Network Application to Analyze 3D Image Printing Using Artificial Intelligence in COVID-19
Paryati, Krit Salahddine

The Evolution Of Emerging Market (EM) Sovereign CDSs Spreads During COVID-19
Nadir Oumayma, Daoui Driss

Prediction of COVID-19 data using business intelligence tools
Sara EL HABBARI, Mhamed-Amine Soumiaa and Mohamed MANSOURI
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