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Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China

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  • Yuliang Xi

    (School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China)

  • Fu Ren

    (School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China)

  • Shi Liang

    (Shenzhen Center for Health Information, Renmin Road North 2210, Luohu District, Shenzhen 518001, China)

  • Jinghua Zhang

    (School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
    Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China)

  • De-Nan Lin

    (Shenzhen Center for Health Information, Renmin Road North 2210, Luohu District, Shenzhen 518001, China)

Abstract

Considering the high morbidity of hepatitis B in China, many epidemiological studies based on classic medical statistical analysis have been started but lack spatial information. However, spatial information such as the spatial distribution, autocorrelation and risk factors of the disease is of great help in studying patients with hepatitis B. This study examined 2851 cases of hepatitis B that were hospitalized in Shenzhen in 2010 and studied the spatial distribution, risk factors and spatial access to health services using spatial interpolation, Pearson correlation analysis and the improved two-step floating catchment area method. The results showed that the spatial distribution of hepatitis B, along with risk factors as well as spatial access to the regional medical resources, was uneven and mainly concentrated in the south and southwest of Shenzhen in 2010. In addition, the distribution characteristics of hepatitis B revealed a positive correlation between four types of service establishments and risk factors for the disease. The Pearson correlation coefficients are 0.566, 0.515, 0.626, 0.538 corresponding to bath centres, beauty salons, massage parlours and pedicure parlours ( p < 0.05). Additionally, the allocation of medical resources for hepatitis B is adequate, as most patients could be treated at nearby hospitals.

Suggested Citation

  • Yuliang Xi & Fu Ren & Shi Liang & Jinghua Zhang & De-Nan Lin, 2014. "Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China," IJERPH, MDPI, vol. 11(11), pages 1-23, November.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:11:p:11505-11527:d:42087
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    References listed on IDEAS

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    1. Zhensheng Wang & Qingyun Du & Shi Liang & Ke Nie & De-nan Lin & Yan Chen & Jia-jia Li, 2014. "Analysis of the Spatial Variation of Hospitalization Admissions for Hypertension Disease in Shenzhen, China," IJERPH, MDPI, vol. 11(1), pages 1-21, January.
    2. Yanxia Wang & Qingyun Du & Fu Ren & Shi Liang & De-nan Lin & Qin Tian & Yan Chen & Jia-jia Li, 2014. "Spatio-Temporal Variation and Prediction of Ischemic Heart Disease Hospitalizations in Shenzhen, China," IJERPH, MDPI, vol. 11(5), pages 1-26, May.
    3. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
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