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Mapping COVID-19 in Space and Time

Understanding the Spatial and Temporal Dynamics of a Global Pandemic

  • Book
  • © 2021

Overview

Editors:
  1. Shih-Lung Shaw

    1. Department of Geography, University of Tennessee, Knoxville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Daniel Sui

    1. Geography and Public & International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Describes human dynamics in cities during and after pandemics
  • Examines the role of smart city technologies during COVID-19
  • Covers conceptual data and method issues of pandemics

Part of the book series: Human Dynamics in Smart Cities (HDSC)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Understanding the Spatial and Temporal Dynamics of a Global Pandemic

    • Shih-Lung Shaw, Daniel Sui
    Pages 1-9

  3. Conceptual and Theoretical Perspectives

    1. Front Matter

      Pages 11-11
      Download chapter PDF

    2. A Power-Law-Based Approach to Mapping COVID-19 Cases in the United States

      • Bin Jiang, Chris de Rijke
      Pages 13-23

    3. Individual, Context, and Space: Using Spatial Approaches for Understanding Unequal Social and Psychological Fallout of COVID-19

      • Grant Drawve, Casey T. Harris, Kevin M. Fitzpatrick
      Pages 25-46

    4. A Permanent Virtual Memorial for a Whistleblower of the COVID-19 Pandemic: A Case Study of Crypto Place on the Blockchain

      • Xu Huang, Bo Zhao
      Pages 47-59

    5. Emotional Responses Through COVID-19 in Singapore

      • Yingwei Yan, Wei Chien Benny Chin, Chan-Hoong Leong, Yi-Chen Wang, Chen-Chieh Feng
      Pages 61-79

    6. A Socio-Ecological Perspective on COVID-19 Spatiotemporal Integrated Vulnerability in Singapore

      • Chan-Hoong Leong, Wei Chien Benny Chin, Chen-Chieh Feng, Yi-Chen Wang
      Pages 81-111

  4. Data Perspectives

    1. Front Matter

      Pages 113-113
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    2. Assessing Connections and Tradeoffs Between Geospatial Data Ethics, Privacy, and the Effectiveness of Digital Contact Tracing Technologies

      • Peter Kedron, Andrew B. Trgovac
      Pages 115-136

    3. Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19

      • Sean G. Young, Jyotishka Datta, Bandana Kar, Xiao Huang, Malcolm D. Williamson, Jason A. Tullis et al.
      Pages 137-167

    4. Multi-level Inter-regional Migrant Population Estimation Using Multi-source Spatiotemporal Big Data: A Case Study of Migrants in Hubei Province During the Outbreak of COVID-19 in Wuhan

      • Jiale Qian, Zhang Liu, Yunyan Du, Nan Wang, Jiawei Yi, Yeran Sun et al.
      Pages 169-188

  5. Analysis and Modeling Perspectives

    1. Front Matter

      Pages 189-189
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    2. Identifying and Characterising Active Travel Corridors for London in Response to Covid-19 Using Shortest Path and Streetspace Analysis

      • Nicolas Palominos, Duncan A. Smith, Sam Griffiths
      Pages 191-216

    3. Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19

      • Fangzheng Lyu, Jeon-Young Kang, Shaohua Wang, Su Yeon Han, Zhiyu Li, Shaowen Wang
      Pages 217-232

    4. Dynamic Spreading of COVID-19 Versus Community Mobility in Regions of England

      • Tao Cheng, Xinchen Zhong, Yunzhe Liu, Yang Zhang, Guangsheng Dong
      Pages 233-251

    5. Exploring Store Visit Changes During the COVID-19 Pandemic Using Mobile Phone Location Data

      • Yunlei Liang, Kyle W. McNair, Song Gao, Aslıgül Göçmen
      Pages 253-275
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Keywords

About this book

This book describes the spatial and temporal perspectives on COVID-19 and its impacts and deepens our understanding of human dynamics during and after the global pandemic. It critically examines the role smart city technologies play in shaping our lives in the years to come. The book covers a wide-range of issues related to conceptual, theoretical and data issues, analysis and modeling, and applications and policy implications such as socio-ecological perspectives, geospatial data ethics, mobility and migration during COVID-19, population health resilience and much more.

With accelerated pace of technological advances and growing divide on political and policy options, a better understanding of disruptive global events such as COVID-19 with spatial and temporal perspectives is an imperative and will make the ultimate difference in public health and economic decision making. Through in-depth analyses of concepts, data, methods, and policies, this book stimulates future studieson global pandemics and their impacts on society at different levels.


Editors and Affiliations

  • Department of Geography, University of Tennessee, Knoxville, USA

    Shih-Lung Shaw

  • Geography and Public & International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, USA

    Daniel Sui

About the editors

Shih-Lung Shaw holds Chancellor’s Professorship, Alvin and Sally Beaman Professorship, and Arts and Sciences Excellence Professorship at the University of Tennessee, Knoxville, USA. He served as the Department Head from 2007 to 2010 and Interim Associate Provost for International Education in 2017-2018. Dr. Shaw is an elected Fellow of the American Association for Advancement of Science (AAAS) and a recipient of the Edward L. Ullman Award for outstanding contributions to the field of transportation geography and the Outstanding Scholar Award in Regional Development and Planning from the Association of American Geographers (AAG).

 

Daniel Sui is Vice President for Research and Innovation at Virginia Tech, Blacksburg, USA, and Professor of Geography and Public & International Affairs.  Prior to Virginia Tech, Dr. Sui was vice chancellor for research and innovation and a distinguished professor at the University of Arkansas, Fayetteville (2018-2020). Dr. Sui also served as Division Director for Social & Economic Sciences at the U.S. National Science Foundation (NSF) between 2016 and 2018. He was an Arts and Sciences Distinguished Professor at the Ohio State University (OSU) between 2009 and 2018. Dr. Sui was a 2009 Guggenheim Fellow and recipient of both AAG and CPGIS distinguished scholar award. 

Bibliographic Information

  • Book Title: Mapping COVID-19 in Space and Time

  • Book Subtitle: Understanding the Spatial and Temporal Dynamics of a Global Pandemic

  • Editors: Shih-Lung Shaw, Daniel Sui

  • Series Title: Human Dynamics in Smart Cities

  • DOI: https://doi.org/10.1007/978-3-030-72808-3

  • Publisher: Springer Cham

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-72807-6Published: 15 July 2021

  • Softcover ISBN: 978-3-030-72810-6Published: 16 July 2022

  • eBook ISBN: 978-3-030-72808-3Published: 14 July 2021

  • Series ISSN: 2523-7780

  • Series E-ISSN: 2523-7799

  • Edition Number: 1

  • Number of Pages: XI, 358

  • Number of Illustrations: 12 b/w illustrations, 106 illustrations in colour

  • Topics: Human Geography, Public Health, Computer Applications, Geography, general

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