2017-2024年安徽省合肥市鼠类监测及携带病原状况分析

Analysis of Rodent Monitoring and Pathogen Carriage Status in Hefei City, Anhui Province, 2017−2024

  • 摘要:
    目的  了解2017-2024年安徽省合肥市鼠类种群构成、时间变化及携带病原情况,为开展鼠类防制和鼠传疾病风险评估提供科学依据。
    方法  收集整理2017-2024年合肥市鼠类国家级监测点数据,分析鼠类种群构成,采用χ2检验比较不同生境、不同种群鼠类的密度变化和季节消长情况;检测并分析鼠携带病原情况。
    结果  2017-2024年共捕获鼠类160只,平均鼠密度为0.21%,小家鼠、褐家鼠、黄胸鼠和黑线姬鼠的构成比分别为42.50%、42.50%、12.50%、2.50%。优势鼠种为小家鼠和褐家鼠。不同年份平均鼠密度差异有统计学意义(χ2=39.710,P<0.01)。城镇居民区、重点行业、农村自然村和农田/林地4种生境类型的平均鼠密度分别为0.14%、0.38%、0.21%和0.02%。不同生境中鼠种构成差异有统计学意义(P<0.01)。鼠密度季节消长总体呈单峰分布,密度高峰在5月份(0.31%),不同生境鼠密度季节消长趋势差异有统计学意义(F=15.800,P<0.05)。不同种群鼠密度季节消长趋势差异有统计学意义(F=15.915,P<0.05)。10份鼠标本检出汉坦病毒阳性,检出率1.22%。阳性鼠标本为褐家鼠和黑线姬鼠。
    结论  2017-2024年合肥市鼠密度保持较低水平,并呈现上升趋势,以褐家鼠和小家鼠为优势鼠种,携带病原体以汉坦病毒为主。应持续开展鼠类及携带病原体监测,评估鼠传疾病发生风险,制定综合防制措施。

     

    Abstract: Objective: To understand the species composition, temporal changes, and pathogen carriage of rodents in Hefei City, Anhui Province, 2017−2024, and to provide a scientific basis for rodent control and risk assessment of rodent-borne diseases. Methods: Data from national monitoring points for rodents in Hefei from 2017 to 2024 were collected and analyzed to determine the species composition of rodents. The χ2 test was used to compare rodent density and seasonal fluctuations across habitats and species. Pathogen detection and analysis were performed on captured rodents. Results: A total of 160 rodents were captured from 2017 to 2024, with an average rodent density of 0.21%. The composition ratios of Mus musculus, Rattus norvegicus, Rattus tanezumi, and Apodemus agrarius were 42.50%, 42.50%, 12.50%, and 2.50%, respectively. The dominant rodent species were house mice and brown house mice. There was a statistically significant difference in average rodent density among different years (χ2=39.710, P<0.01). The average rodent densities in urban residential areas, key industries, rural residential areas, and farmland/forest areas were 0.14%, 0.38%, 0.21%, and 0.02%, respectively. There was a statistically significant difference in the composition of rodent species among different habitats (P<0.01). The seasonal fluctuation of rodent density generally showed a unimodal pattern, with a peak in May (0.31%). There were statistically significant differences in the seasonal fluctuation trends of rodent density among different habitats (F=15.800, P<0.05). There were statistically significant differences in the seasonal fluctuation trends of rodent density among different rodent species (F=15.915, P<0.05). Hantavirus was detected in 10 rodent samples, with a positive rate of 1.22%. Positive samples were identified in Rattus norvegicus and Apodemus agrarius. Conclusion: The rodent density in Hefei remained at a low level and showed an upward trend from 2017 to 2024. Rattus norvegicus and Mus musculus were the dominant species, and hantavirus was the main pathogen detected. Continuous monitoring of rodents and their pathogens should be conducted to assess the risk of rodent-borne diseases and implement integrated control strategies.

     

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