Journal of Capital Medical University ›› 2016, Vol. 37 ›› Issue (5): 641-645.doi: 10.3969/j.issn.1006-7795.2016.05.017

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Spatiotemporal distribution and spatial clustering of hemorrhagic fever with renal syndrome in the mainland of China

Geng Yahui1,2, Wang Chao1,3, Xu Qin1, Huang Fangfang1, Guo Xiuhua1   

  1. 1. Department of Epidemiology and Statistics, School of Public Health, Capital Medical University, Beijing 100069, China;
    2. Department of Endocrinology, Beijing Geriatric Hospital, Beijing 100095, China;
    3. Department of Statistics and Information, Beijing Centers for Disease Control and Prevention, Beijing 100013, China
  • Received:2016-07-08 Online:2016-10-21 Published:2016-10-19

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Abstract: Objective To explore the temporal, spatial characteristics and the changing trend of clustering of hemorrhagic fever with renal syndrome (HFRS) in China. Methods The spatial auto-correlation analysis (Moran's I and Getis G) were used to conduct spatial statistical analyses of HFRS surveillance data during 2006-2010 in China at the regional level. Results The incidence of HFRS had two peaks (in June and November) in each year. Global Moran's I coefficients were 0.054 0, 0.038 2, 0.024 8, 0.033 5 and 0.024 5 from 2006 to 2010, respectively (all P<0.05). The local autocorrelation analysis showed that high-high cluster mainly distributed in Shandong, Jiangsu, Hainan and Shaanxi provinces. The main locations of HFRS hotspots gradually changed year by year. Conclusion A seasonal periodicity with two peaks per year were found in HFRS in China. The spatial clustering of HFRS incidence from 2006 to 2010 was low-level and clustering areas were changing from mainly distributed in Hainan, Shandong, Jiangsu and Zhejiang provinces to Shaanxi, Ningxia and surrounding provinces.

Key words: hemorrhagic fever with renal syndrome (HFRS), spatial autocorrelation, aggregation area

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