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Spatial Analysis of Lung Cancer Patients and Associated Influencing Factors from the Perspective of Urban Sustainable Development: A Case Study of Jiangsu Province, China

Author

Listed:
  • Ge Shi

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China
    School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Jingran Zhang

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China)

  • Jiahang Liu

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China
    School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Jinghai Xu

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China
    School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Yu Chen

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China
    School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Yutong Wang

    (Institute for Emergency Governance and Policy, Nanjing Tech University, Nanjing 211816, China
    School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

Abstract

With global environmental changes, lung cancer has become one of the most common types of cancer worldwide, posing a significant public health challenge. Jiangsu Province, located in the eastern part of China, is an economically and socially developed region. According to the latest cancer registration data in Jiangsu Province, lung cancer ranks first in both incidence and mortality of cancer in the province. Thus, studying the spatiotemporal distribution of lung cancer cases and analyzing the influence of various factors on this distribution are crucial for the effective prevention and control of the disease in Jiangsu Province. This study takes the statistical data of lung cancer patients in Jiangsu Province in 2020 as the research object, uses Geographic Information System (GIS) visualization and spatial analysis to study the spatial distribution characteristics of lung cancer patients in Jiangsu Province, and employs the geographical detector to numerically express the impact of various environmental factors on the distribution of lung cancer patients in Jiangsu Province. The results reveal a notable spatial clustering of lung cancer cases, with high-incidence areas concentrated in Suzhou, Nanjing, and Xuzhou cities. Among the seven environmental factors examined, PM 2.5 , SO 2 , and PM 10 concentration exert the most significant influence. This study employs multifactorial spatial analysis to elucidate the intricate relationships between people’s health and air quality, medical resource distribution, and lung cancer incidence in the process of pursuing sustainable development in cities and provides an important reference for the improvement in lung cancer prevention and control strategies.

Suggested Citation

  • Ge Shi & Jingran Zhang & Jiahang Liu & Jinghai Xu & Yu Chen & Yutong Wang, 2024. "Spatial Analysis of Lung Cancer Patients and Associated Influencing Factors from the Perspective of Urban Sustainable Development: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 16(22), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9898-:d:1520073
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    References listed on IDEAS

    as
    1. Hanguang Yu & Dongya Liu & Chunxiao Zhang & Le Yu & Ben Yang & Shijiao Qiao & Xiaoli Wang, 2023. "Research on Spatial–Temporal Characteristics and Driving Factors of Urban Development Intensity for Pearl River Delta Region Based on Geodetector," Land, MDPI, vol. 12(9), pages 1-21, August.
    2. Shugarman, L.R. & Sorbero, M.E.S. & Tian, H. & Jain, A.K. & Ashwood, J.S., 2008. "An exploration of urban and rural differences in lung cancer survival among medicare beneficiaries," American Journal of Public Health, American Public Health Association, vol. 98(7), pages 1280-1287.
    3. Hsin-Pei Hsueh & Chien-Ming Wang & Cheng-Feng Wu & Fangjhy Li, 2019. "Investigation of the Co-Movement Relationship between Medical Expenditure and GDP in Taiwan-Based on Wavelet Analysis," IJERPH, MDPI, vol. 16(24), pages 1-9, December.
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