COVID-19 is currently the most dangerous variation of the coronavirus as threating the humankind, accepted as the pandemic by the World Health Organization (WHO). Nowadays, there is not almost any country where issues regarding COVID-19 is not observed. With thousands of reported deaths and the cases more than that, the world is in an active war to eliminate that virus. In the past, such situation had already been experienced with important viruses such as Ebola, H1N1, and Influenza. However, the most devastating results within last two centuries may will be associated with the active COVID-19. While the sub-fields medical as well as natural sciences have been working instantly on deriving solutions and trying to protect the humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, Data Science is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by the Data Science, it is possible to get positive results and introduce revolutionary solutions against the related medical diseases. By running capabilities – resources for rising the Data Science, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modeling new techniques and improving the advantages of the Data Science more. Nowadays, there is a great interest in application potentials of the Data Science so that it will be an effective approach for taking the humankind more step away, after COVID-19 and also before pandemics similar to the COVID-19 many appear.

The main goal of the proposed edited book: ‘Data Science for COVID-19’ is to provide the most recent research and innovative developments regarding the COVID-19. In this context, the book aims to inform the target audience about the latest findings-results regarding a wide variety of Data Science applications for fighting COVID-19.

There is currently a great emergency state in all over the world and the scientific audience is looking for instant solutions and further works to eliminate all cases of COVID-19 problems and similar pandemics that may threaten the humankind in the future. Moving from that, alternative applications of Data Science are too valuable and critical. Such applications can be done over data such as medical image, raw data, statistical findings, and even ongoing real-time rates in terms of active pandemic cases, deaths, treated people and potential components such as animals as the origin of such pandemics.

Submission Guidelines:
All submissions should be done by email to: utkukose@gmail.com and / or deepakgupta@mait.ac.in and / or victor.albuquerque@unifor.br and / or ashishkhanna@mait.ac.in

Please consider the rules here while preparing the full chapter: https://booksite.elsevier.com/brochures/authors/Text/type.htm

All papers must be original and not simultaneously submitted to another book project, journal or conference. The following important dates will be considered for the submissions:

• Full Paper Submission: 30.04.2020
• Notification of Accept / Reject: 05.05.2020
• Final Chapter Due: 10.05.2020

List of Topics (as not limited to):

• COVID-19 virus with their essentials as a treat,
• Image Analysis and Processing for COVID-19,
• Design of Cognition and Computing for COVID-19,
• Data Processing for COVID-19,
• Geoprocessing / Tracking for COVID-19,
• Diagnosis for COVID-19,
• Laboratorial Data Analysis for COVID-19,
• Predictive Systems for COVID-19,
• Mobile technology solutions for COVID-19,
• Artificial Intelligence based solutions for COVID-19,
• Treatment of for COVID-19 with Data Science,
• Public Safety for COVID-19,
• Governmental Applications for COVID-19,
• Data Science Policies for COVID-19,
• Internet of Health Things (IoHT) for COVID-19,
• Big Data for COVID-19,
• New Data Models for COVID-19,
• …etc.

It is important that research works with only targeting COVID-19 will be given more emphasis while a few of alternative works giving insights for potential pandemics will be accepted. Also, the contributors will be encouraged to provide also success stories, negative results and experiences / feedback they received from physicians and medical staff.

Editors:
Utku Kose, PhD. (Suleyman Demirel University, Turkey)
Deepak Gupta, PhD. (Maharaja Agrasen Institute of Technology, India)
Victor Hugo C. de Albuquerque (Universidade de Fortaleza, Brazil)
Ashish Khanna, PhD. (Maharaja Agrasen Institute of Technology, India)