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Spatiotemporal distribution characteristics of newly reported cases of echinococcosis in Sichuan Province from 2020 to 2024
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Rui-rui LI, Wen-jie YU, Wei HE, Yan HUANG, Yang LIU, Qian WANG
Modern Preventive Medicine | 2025, 52(23) : 4262 - 4268
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Modern Preventive Medicine | 2025, 52(23): 4262-4268
• Epidemiology and Statistical Methods •
Spatiotemporal distribution characteristics of newly reported cases of echinococcosis in Sichuan Province from 2020 to 2024
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Rui-rui LI, Wen-jie YU, Wei HE, Yan HUANG, Yang LIU, Qian WANG
Affiliations
  • Institute of Parasitic Diseases Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu,Sichuan 610041, China
Published: 2025-12-10 doi: 10.20043/j.cnki.MPM.202507162
Outline
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Objective

To analyze the spatial distribution characteristics and changing trends of newly reported echinococcosis cases in endemic areas of Sichuan Province from 2020 to 2024, so as to provide a reference for formulating precise prevention and control strategies.

Methods

Based on the China Disease Control and Prevention Information System, county-level data on new cases of echinococcosis reported from 2020 to 2024 in endemic areas of Sichuan Province were collected. GeoDa 1.2.0 software and ArcGIS 10.3 software were used to conduct global spatial autocorrelation analysis, local spatial autocorrelation analysis and hotspot analysis on the reported incidence rates.

Results

From 2020 to 2024, 378 new cases of echinococcosis were reported in 35 endemic counties in Sichuan Province. The annual reported incidence rates were 2.11 per 100 000, 2.54 per 100 000, 2.80 per 100 000, 3.19 per 100 000, and 4.29 per 100 000, respectively. Among the endemic prefectures, Aba Prefecture recorded the highest average annual reported incidence rate (5.64 per 100 000), while Ganzi Prefecture ranked second (2.31 per 100 000). The global spatial autocorrelation analysis showed that the reported incidence rate of echinococcosis in Sichuan Province had a positive spatial correlation in 2020, 2022, and 2024 (Moran’s I=0.295, 0.257, and 0.109; Z>1.96; P<0.05 for all years), and was randomly distributed in 2021 and 2023 (Moran’s I=-0.065 and 0.042; Z<1.96; P>0.05 for both years). Local spatial autocorrelation analysis identified four clustering patterns: “High-High”, “High-Low”, “Low-High” and“Low-Low”. The “High-High” clusters were primarily concentrated in Aba County, Barkam City, and Rangtang County within Aba Prefecture. The hotspot analysis indicated that from 2020 to 2024, the hotspots of the reported incidence of echinococcosis in Sichuan Province shifted from Ruoergai, Hongyuan, and Heishui counties in the north-central region of Aba Prefecture toward the southwestern border areas between northern Aba Prefecture and Ganzi Prefecture, and the primary hotspot regions were concentrated in Rangtang County, Aba County, Barkam City, and Jinchuan County of Aba Prefecture, along with Seda County of Ganzi Prefecture.

Conclusion

From 2020 to 2024, the reported incidence rate of echinococcosis in endemic areas of Sichuan Province showed an increasing trend, with significant spatial clustering observed. It is recommended to strengthen the management of sources of infection and wildlife host control measures in hotspot areas, and to develop regional comprehensive prevention and control strategies.

Echinococcosis  /  Incidence rate  /  Hotspot analysis  /  Spatial autocorrelation
李汭芮, 喻文杰, 何伟, 黄燕, 刘阳, 王谦. 2020—2024年四川省新报告棘球蚴病病例时空分布特征分析. 现代预防医学, 2025 , 52 (23) : 4262 -4268 . DOI: 10.20043/j.cnki.MPM.202507162
Rui-rui LI, Wen-jie YU, Wei HE, Yan HUANG, Yang LIU, Qian WANG. Spatiotemporal distribution characteristics of newly reported cases of echinococcosis in Sichuan Province from 2020 to 2024[J]. Modern Preventive Medicine, 2025 , 52 (23) : 4262 -4268 . DOI: 10.20043/j.cnki.MPM.202507162
Year 2025 volume 52 Issue 23
32
16
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doi: 10.20043/j.cnki.MPM.202507162
  • Receive Date:2025-07-13
  • Online Date:2026-11-02
  • Published:2025-12-10
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  • Received:2025-07-13
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    Institute of Parasitic Diseases Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu,Sichuan 610041, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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