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Risk assessment of hemorrhagic fever with renal syndrome, Sichuan
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Ke-wei ZENG1, Xing-yu ZHOU2, Nan LI1, Ya-jia LAN1, *
Modern Preventive Medicine | 2025, 52(8) : 1484 - 1489
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Modern Preventive Medicine | 2025, 52(8): 1484-1489
Disease Control and Prevention
Risk assessment of hemorrhagic fever with renal syndrome, Sichuan
Full
Ke-wei ZENG1, Xing-yu ZHOU2, Nan LI1, Ya-jia LAN1, *
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Sichuan, Chengdu 610041, China
Published: 2025-04-25 doi: 10.20043/j.cnki.MPM.202410430
Outline
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Objective

To assess Hantaan virus infection risk across districts in Sichuan Province, providing a scientific basis for prevention and intervention measures for Hemorrhagic Fever with Renal Syndrome (HFRS) and data for evaluating their effectiveness.

Methods

This study utilized open-source databases and mathematical modeling. HFRS case report data were collected to analyze epidemic status and spatial distribution using traditional epidemiological methods, while a Bayesian spatiotemporal model examined temporal effects, spatial effects, spatiotemporal interactions, and the impact of meteorological, socioeconomic, and healthcare factors on regional risk levels.

Results

From 2015 to 2021, HFRS incidence in Sichuan showed temporal variation and seasonality, with Yanyuan County reporting the highest cases. Spatial analysis indicated that most districts had risk values consistent with the provincial average, with high-risk areas in the southern, northeastern and central regions. Relative risk declined overall from 2015 to 2020, with a 41.7% decrease in 2020 compared to 2015, although a slight increase occurred in 2021 (0.22 per 100 000). Yanyuan County had the highest relative risk (2.66 [1.64, 4.57]), while other regions aligned with the provincial average. Urbanization rate and humidity affected HFRS incidence negatively, and precipitation affected HFRS incidence positively.

Conclusion

HFRS incidence in Sichuan Province is generally low, with higher rates in specific districts, highlighting spatial risk variability. Meteorological, socioeconomic, and healthcare factors influence infection risk. Monitoring relevant indicators and implementing timely interventions are essential to prevent increased human infection risk.

Hemorrhagic Fever with Renal Syndrome (HFRS)  /  Bayesian spatiotemporal interaction model  /  Risk assessment  /  Sichuan Province
Ke-wei ZENG, Xing-yu ZHOU, Nan LI, Ya-jia LAN. Risk assessment of hemorrhagic fever with renal syndrome, Sichuan[J]. Modern Preventive Medicine, 2025 , 52 (8) : 1484 -1489 . DOI: 10.20043/j.cnki.MPM.202410430
Year 2025 volume 52 Issue 8
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Article Info
doi: 10.20043/j.cnki.MPM.202410430
  • Receive Date:2024-10-28
  • Online Date:2026-03-17
  • Published:2025-04-25
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  • Received:2024-10-28
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    Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Sichuan, Chengdu 610041, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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