JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2015, Vol. 53 ›› Issue (2): 81-86.doi: 10.6040/j.issn.1671-7554.0.2014.748

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Spatial epidemiological characteristics of HIV infections and AIDS patients in Shandong Province

WANG Hao1, ZHANG Na2, XUE Fuzhong1, WANG Ping3, KANG Dianmin2, LIU Yanxun1   

  1. 1. Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Institute of AIDS Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China;
    3. Outpatient Surgery, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2014-10-25 Published:2015-02-10

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Abstract: Objective To analyze the spatial epidemiological characteristics of HIV/AIDS during June 1992 to July 2014 in Shandong Province. Methods Based on Geographic Information System (GIS), the global autocorrelation statistic (Moran's I) and local indicator of spatial association (LISA) were used to explore the spatial autocorrelation of HIV/AIDS in Shandong Province. Bivariate spatial autocorrelation analysis was adopted to investigate the association between homosexual and heterosexual transmissions. Results A total of 6 593 HIV/AIDS cases were reported during June 1992 to July 2014 with a trend of gradual growth. HIV/AIDS had positive spatial autocorrelation at county level (Moran's I=0.52). Spatial hotspot clusters were detected around Qingdao City and Jinan City. Homosexual and heterosexual transmission, as the major routes of HIV infection, had spatial association especially in Tianqiao District and Shizhong District of Jinan City, and Laoshan District and Shibei District of Qingdao City. Conclusion HIV/AIDSshows spatial dependence, and prevention efforts focus on Qingdao City and Jinan City. Positive spatial autocorrelation between homosexual and heterosexual transmissions indicates that HIV/AIDS is spreading from high-risk population to general population.

Key words: Spatial epidemiological characteristics, Shandong Province, Human immunodeficiency virus infections, Acquired immune deficiency syndrome patients, Spatial autocorrelation

CLC Number: 

  • R188.2/.7
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