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Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment

Author

Listed:
  • Zijing Ye

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Ruisi Li

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Jing Wu

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Hubei Habitat Environment Research Centre of Engineering and Technology, Wuhan 430072, China)

Abstract

Medical facilities are an important part of urban public facilities and a vital pillar for the survival of citizens at critical times. During the rapid spread of coronavirus disease (COVID-19), Wuhan was forced into lockdown with a severe shortage of medical resources and high public tension. Adequate allocation of medical facilities is significant to stabilize citizens’ emotions and ensure their living standards. This paper combines text sentiment analysis techniques with geographic information system (GIS) technology and uses a coordination degree model to evaluate the dynamic demand for medical facilities in Wuhan based on social media data and medical facility data. This study divided the epidemic into three phases: latent, outbreak and stable, from which the following findings arise: Public sentiment changed from negative to positive. Over half of the subdistricts in three phases were in a dysfunctional state, with a circular distribution of coordination levels decreasing from the city center to the outer. Thus, when facing major public health emergencies, Wuhan revealed problems of uneven distribution of medical facilities and unreasonable distribution of grades. This study aims to provide a basis and suggestions for the city to respond to major public health emergencies and optimize the allocation of urban medical facilities.

Suggested Citation

  • Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7045-:d:834460
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    References listed on IDEAS

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    1. Hong Xu & Jin Zhao & Xincan Yu, 2023. "A Community-Oriented Accessibility Index of Public Health Service Facilities: A Case Study of Wuchang District, Wuhan, China," Sustainability, MDPI, vol. 15(14), pages 1-21, July.

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