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Eleana Asimakopoulou (editor) - Data Science Advancements in Pandemic and Outbreak Management

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Eleana Asimakopoulou (editor) Data Science Advancements in Pandemic and Outbreak Management

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This book demonstrates how strategies and state-of-the-art information technologies have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management including revisiting and critically reviewing past and current approaches, identifying good and bad practices and further developing adaptation for future pandemics and outbreaks--

Eleana Asimakopoulou (editor): author's other books


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Data Science Advancements in Pandemic and Outbreak Management Eleana - photo 1
Data Science Advancements in Pandemic and Outbreak Management
  • Eleana Asimakopoulou
    Hellenic National Defence College, Greece
  • Nik Bessis
    Independent Researcher, UK

A volume in the Advances in Data Mining and Database Management (ADMDM) Book Series Book Series

Published in the United States of America by IGI Global an imprint of IGI - photo 2Published in the United States of America by IGI Global an imprint of IGI - photo 3

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

Copyright 2021 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data

Names: Asimakopoulou, Eleana, 1976- editor. | Bessis, Nik, 1967- editor.
Title: Data science advancements in pandemic and outbreak management /
Eleana Asimakopoulou and Nik Bessis, editors.
Description: Hershey, PA : Engineering Science Reference, [2021] | Includes
bibliographical references and index. | Summary: "This book demonstrates
how strategies and state-of-the-art information technologies have and/or
could be applied to serve as the vehicle to advance pandemic and
outbreak management including revisiting and critically reviewing past
and current approaches, identifying good and bad practices and further
developing adaptation for future pandemics and outbreaks"-- Provided by
publisher.
Identifiers: LCCN 2020052951 (print) | LCCN 2020052952 (ebook) | ISBN
9781799867364 (hardcover) | ISBN 9781799867371 (paperback) | ISBN
9781799867388 (ebook)
Subjects: LCSH: Epidemiology. | Emergency management--Information
technology.
Classification: LCC RA648.5 .D38 2021 (print) | LCC RA648.5 (ebook) | DDC
614.40285--dc23
LC record available at https://lccn.loc.gov/2020052951
LC ebook record available at https://lccn.loc.gov/2020052952

This book is published under the IGI Global book series Advances in Data Mining and Database Management (ADMDM) (ISSN: 2327-1981 eISSN: 2327-199X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Data Mining and Database Management ADMDM Book Series David - photo 4
Advances in Data Mining and Database Management (ADMDM) Book Series

David Taniar (Monash University, Australia)

ISSN: 2327-1981

Mission

With the large amounts of information available to organizations in todays digital world, there is a need for continual research surrounding emerging methods and tools for collecting, analyzing, and storing data.

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

Coverage
  • Web-based information systems
  • Web Mining
  • Database Testing
  • Sequence analysis
  • Cluster Analysis
  • Enterprise Systems
  • Heterogeneous and Distributed Databases
  • Data Mining
  • Profiling Practices
  • Data Quality

IGI Global is currently accepting manuscripts for publications within this series. To submit a proposal for a volume in this series please contact our Acquisition Editors at .

The Advances in Data Mining and Database Management (ADMDM) Book Series(ISSN 2327-1981) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-data-mining-database-management/37146. Postmaster: send all address changes to above address. Copyright 2021 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

Titles in this Series

Analyzing Data Through Probabilistic Modeling in Statistics
Dariusz Jacek Jakbczak (Koszalin University of Technology, Poland)
Engineering Science Reference copyright 2021 331pp H/C (ISBN: 9781799847069) US $225.00 (our price)

Applications of Big Data in Large- and Small-Scale Systems
Sam Goundar (British University Vietnam, Vietnam) and Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)
Engineering Science Reference copyright 2021 377pp H/C (ISBN: 9781799866732) US $245.00 (our price)

Developing a Keyword Extractor and Document Classifier Emerging Research and Opportunities
Dimple Valayil Paul (Department of Computer Science, Dnyanprassarak Mandal's College and Research Centre, GoaUniversity, Goa, India)
Engineering Science Reference copyright 2021 229pp H/C (ISBN: 9781799837725) US $195.00 (our price)

Intelligent Analytics With Advanced Multi-Industry Applications
Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)
Engineering Science Reference copyright 2021 392pp H/C (ISBN: 9781799849636) US $225.00 (our price)

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Mrutyunjaya Panda (Utkal University, India) and Harekrishna Misra (Institute of Rural Management, Anand, India)
Engineering Science Reference copyright 2021 392pp H/C (ISBN: 9781799866596) US $285.00 (our price)

Blockchain and AI Technology in the Industrial Internet of Things
Subhendu Kumar Pani (Orissa Engineering College,BPUT, India) Chittaranjan Hota (Birla Institute of Technology and Science, India) Guangzhi Qu (Oakland University, USA) Sian Lun Lau (Sunway University, Malaysia) and Xingcheng Liu (Sun Yat-sen University, China)
Engineering Science Reference copyright 2021 330pp H/C (ISBN: 9781799866947) US $225.00 (our price)

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