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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
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    Cited by:

    1. 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.
    2. 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).

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