Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (11): 104-110.doi: 10.6040/j.issn.1671-7554.0.2023.0798

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Spatio-temporal distribution and influencing factors of hantavirus hemorrhagic fever with renal syndrome in Shandong Province, 2011—2019

ZHENG Liang1, SUN Minghao1, SHI Yuan1, YU Shengnan1, WANG Zhiqiang2, LI Xiujun1   

  1. 1. Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Institute of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China
  • Published:2023-12-12

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Abstract: Objective To analyze the epidemiological characteristics, spatial-temporal distribution and influencing factors of hemorrhagic fever with renal syndrome(HFRS)in Shandong Province from 2011 to 2019, so as to provide a scientific basis for the prevention and control of this disease. Methods The data of HFRS were collected and the epidemiological characteristics were described. The spatial-temporal distribution characteristics were analyzed with spatial autocorrelation and space-time scanning. Geodetector were used to analyze the influence of environmental factors and the interactions on HFRS. Results A total of 11,310 HFRS cases were reported, with an average annual incidence of 1.24/100,000; 142 deaths were reported, with a fatality rate of 1.26%. The male-to-female ratio was 2.6∶1. The key population was farmers aged 30 to 70 years. The incidence showed seasonal and spatial-temporal clustering, with spring peak(April-June)and autumn-winter peak(October-December). The spatial distribution was higher in the southeast and lower in the northwest. Temperature, precipitation, altitude, and other factors could affect the incidence of HFRS(q=0.349, 0.251, 0.203). The pairwise interactions between factors could enhance the risk of HFRS. The interaction between temperature and slope was the strongest(q=0.627). Conclusion The incidence of HFRS shows spatial-temporal clustering in Shandong Province, which is influenced by various social and natural factors. The interaction between factors can enhance the impact on HFRS. The central mountainous area with high altitude, abundant precipitation and wide vegetation coverage, and the southeast coastal area have higher risk of HFRS and need pay more attention to the prevention and control of this disease.

Key words: Hemorrhagic fever with renal syndrome, Epidemiological characteristics, Spatial-temporal distribution, Influencing factors, Geodetector

CLC Number: 

  • R181.3
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