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Visualising the expansion and spread of coronavirus disease 2019 by cartograms

Author

Listed:
  • Peichao Gao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, China; Faculty of Geographical Science, Beijing Normal University, PR China)

  • Hong Zhang

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, PR China)

  • Zhiwei Wu

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, PR China)

  • Jicheng Wang

    (Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong; Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, PR China)

Abstract

Coronavirus disease 2019 (COVID-19) has emerged as a growing focus of global attention and a critical factor in public-health decision making. Towards fighting the COVID-19 outbreak, countries worldwide and international organisations have taken various actions, including promoting the transparency of and public access to disease data. In such public communications, maps have played an important role in that a map is worth a thousand words. Most of these have taken the form of a choropleth map. Here, we propose employing cartograms to visualise both the expansion and spread of COVID-19. We designed a combination of six circular cartograms containing the data of confirmed cases every 48 hours from 24 January to 3 February 2020. Such a design conveys both spatial and temporal information more intuitively and efficiently, so it can be expected to facilitate better public participation in the fight against COVID-19.

Suggested Citation

  • Peichao Gao & Hong Zhang & Zhiwei Wu & Jicheng Wang, 2020. "Visualising the expansion and spread of coronavirus disease 2019 by cartograms," Environment and Planning A, , vol. 52(4), pages 698-701, June.
  • Handle: RePEc:sae:envira:v:52:y:2020:i:4:p:698-701
    DOI: 10.1177/0308518X20910162
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    Cited by:

    1. Lucía Pérez-Pérez & Inés Cárdaba-García & Miguel A. Madrigal-Fernández & Federico Montero-Cuadrado & E. M. Sobas & Raúl Soto-Cámara, 2023. "COVID-19 Pandemic Control Measures and Their Impact on University Students and Family Members in a Central Region of Spain," IJERPH, MDPI, vol. 20(5), pages 1-12, March.
    2. José Antonio Belso-Martínez & Alicia Mas-Tur & Mariola Sánchez & María José López-Sánchez, 2020. "The COVID-19 response system and collective social service provision. Strategic network dimensions and proximity considerations," Service Business, Springer;Pan-Pacific Business Association, vol. 14(3), pages 387-411, September.
    3. Wenjie Chen & Wenbing Zhang & Lu Li, 2021. "Precise Transmission for COVID-19 Information: Based on China’s Experience," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
    4. Peer Henri Kieweg & Stefanie Schöberl & Gabriele Palozzi, 2021. "The Role of Communication In COVID-19 Crisis Management: Findings about Information Behavior of German and Italian Young People," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 12(5), pages 263-288, October.
    5. Melin, Patricia & Monica, Julio Cesar & Sanchez, Daniela & Castillo, Oscar, 2020. "Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    6. Viola, Carmine & Toma, Pierluigi & Manta, Francesco & Benvenuto, Marco, 2021. "The more you know, the better you act? Institutional communication in Covid-19 crisis management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Patricia Melin & Oscar Castillo, 2021. "Spatial and Temporal Spread of the COVID-19 Pandemic Using Self Organizing Neural Networks and a Fuzzy Fractal Approach," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    8. Castillo, Oscar & Melin, Patricia, 2020. "Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    9. Castillo, Oscar & Melin, Patricia, 2021. "A new fuzzy fractal control approach of non-linear dynamic systems: The case of controlling the COVID-19 pandemics," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).

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