Call for Chapters: Data Science Advancements in Pandemic and Outbreak Management


Dr. Eleana Asimakopoulou EC Expert Evaluator, Greece Professor Nik Bessis Edge Hill University, United Kingdom

Call for Chapters

Proposals Submission Deadline: September 11, 2020
Full Chapters Due: October 11, 2020
Submission Date: January 19, 2021


Pandemics are disruptive, they cause crisis yet they occur every now and then. According to the UN the coronavirus COVID-19 pandemic is the defining global health crisis of our time and the greatest challenge we have faced since World War Two. Within the first three months, the spread of the virus around the world and in particular, in more than 196 countries, challenged public and private health systems and governments worldwide, leading the World Health Organization (WHO) to declare a global pandemic. The director-general of WHO when referring to COVID-19 referred to that this is not just a public health crisis alone but it is a crisis that will touch every sector. During the last two decades society had suffered by epidemic outbreaks, including the SARS in 2003 and the H1N1 in 2009. Pandemic is not a term to use lightly or carelessly and, if misused, can cause unreasonable fear, or unjustified acceptance that the challenge is over, potentially leading to unnecessary suffering and loss. However, humans are not always capable of avoiding the risks and consequences of such situations. Thus, there is a need to prepare and plan in advance actions in identifying, assessing and responding to such events in order to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place and several aspects have to be brought together and examined before the declaration of a pandemic. Various health organisations, crisis management bodies and authorities at local, national and international levels are involved in the management of pandemics. There is no better time to revisit current approaches in order to advance the disciplines and cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption and respecting human rights, there has been an emerging interest in lessons learnt and specifically in revisiting past and current pandemic approaches. Such approaches involve the strategies and practices from several disciplines and fields, to name a few, healthcare, management, IT, mathematical modelling and data science. Reviewing these approaches as a means to advance in-situ practices and prompt future directions could alleviate or even prevent human, financial and environmental compromise, loss and social interruption via state-of-the-art technologies and frameworks. According to the UN, humanity needs leadership and solidarity to defeat pandemics. Leadership without science cannot support such issues in their full potential and therefore the scope of this book is to bring these aspects together.


The primary goal of the book is to demonstrate how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The achievement of such a goal implies the contribution of various practitioners, scholars in the area and researchers from many disciplines who are willing to offer their expertise and skills in advancing their discipline both as a theory and practice. The book also aims to provide conceptual and practical guidance to relevant stakeholders including managers of relevant organizations. It will help assist in identifying and developing effective and efficient approaches, mechanisms, and systems using emerging technologies to support their effective operation. The overall mission of the book is to introduce both technical and non-technical details of management strategies and advanced IT, data science and mathematical modelling and demonstrate their application and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices and further developing the area for future adaptation. The book aims to collect the vast experience of many leaders and as such, to be a definitive state-of-the-art collection suggesting future directions for healthcare stakeholders, decision makers and crisis management officials to identify applicable theories and practices in order to mitigate, prepare for, respond to and recover from future pandemics and outbreaks.

Target Audience

The projected audience is broad, ranging from those currently working in or those who are interested in joining interdisciplinary, multidisciplinary and transdisciplinary collaborative management of pandemics and outbreaks. Specifically, audiences who are: (1) researchers and practitioners in the areas of pandemic and outbreak detection and management; pandemic assessment; contingency planning and business continuity; emerging technologies and advanced IT; artificial intelligence, data science and mathematical modelling; big data and data management; smart systems, cyber-physical systems and industry 4.0; (2) managers and decision makers in the central and local authorities, research institutes and scientific centers and the industry; (3) academics, instructors, researchers and students in colleges and universities.

Recommended Topics

• State-of-the-art practices, tools and applications for detecting, assessing and managing pandemics and outbreaks • AI, machine learning, deep learning, mathematical modelling, data science • Big data for risk identification, assessment and management • IoT, cyber-physical systems, smart systems, HealthCare 4.0 and Industry 4.0 • Modeling techniques, simulations and predictive analytics • Interfaces, visualization systems, dashboards, GIS • Intelligent and smart decision making • Monitoring systems and alerting systems • Security, privacy and ethics • Critical reviews on past and current approaches in detecting, assessing and managing pandemics and outbreaks • Principles, strategies and practices • Current and future concerns, lessons learnt • Standards and policies • Public awareness, education and training, community resilience • Management and intelligence in decision making • Healthcare risk analysis and assessment • Public health consequences • Social consequences of quarantine and social distancing • Contingency planning, business continuity and recovery • Impact of pandemics on the global society including work environments, educational institutions, public services and the economy • Applicable future concepts, trends and strategies for the mitigation and preparedness of pandemics and outbreaks

Submission Procedure

Researchers and practitioners are invited to submit on or before July 29, 2020, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by August 28, 2020 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by October 11, 2020, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Data Science Advancements in Pandemic and Outbreak Management. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery®TM online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2021.

Important Dates

-September 11 2020: Proposal Submission Deadline (final date for proposals) -August 28, 2020: Notification of Acceptance -October 11, 2020: Full Chapter Submission -December 22, 2020: Review Results Returned -January 5, 2021: Final Acceptance Notification -January 19, 2021: Final Chapter Submission


Dr. Eleana Asimakopoulou EC Expert Evaluator, Greece Professor Nik Bessis Edge Hill University, United Kingdom


Computer Science and Information Technology; Medical, Healthcare, and Life Sciences; Security and Forensics; Social Sciences and Humanities
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