IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v52y2020i4p691-694.html
   My bibliography  Save this article

Mapping the changing Internet attention to the spread of coronavirus disease 2019 in China

Author

Listed:
  • Hong Zhang

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

  • Yanyu Chen

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

  • Peichao Gao

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

  • Zhiwei Wu

Abstract

The incessant spread of the coronavirus disease 2019 (COVID-19) has been a great threat to human health. By 17 March 2020, the number of laboratory-confirmed cases had exceeded 179,000, with more than 7000 deaths across at least 150 countries. Due to the extremely contagious nature of COVID-19, the Chinese government has made broad and aggressive responses to restrict movement, transportation, and business for six to eleven weeks. Wuhan, a city in Hubei province from which COVID-19 emanated, has been quarantined since 12 January 2020, and many other cities have been placed under travel restrictions. Citizens have been strongly encouraged to stay home and limit face-to-face contact; as a result, people’s daily lives are dominated by the Internet as never before. Here, we visualize the spread of COVID-19 and people’s Internet attention in China in the form of cartograms using the diffusion-based method.

Suggested Citation

  • Hong Zhang & Yanyu Chen & Peichao Gao & Zhiwei Wu, 2020. "Mapping the changing Internet attention to the spread of coronavirus disease 2019 in China," Environment and Planning A, , vol. 52(4), pages 691-694, June.
  • Handle: RePEc:sae:envira:v:52:y:2020:i:4:p:691-694
    DOI: 10.1177/0308518X20922238
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0308518X20922238
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0308518X20922238?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Hong & Xu, Shan & Liu, Xuan & Liu, Chengliang, 2021. "Near “real-time” estimation of excess commuting from open-source data: Evidence from China's megacities," Journal of Transport Geography, Elsevier, vol. 91(C).
    2. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:52:y:2020:i:4:p:691-694. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.