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预防医学  2025, Vol. 37 Issue (8): 818-821    DOI: 10.19485/j.cnki.issn2096-5087.2025.08.013
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2007—2024年金华市钩端螺旋体病流行特征分析
李克, 庞志峰, 吴晓虹, 王诚, 何瑶, 唐慧玲
金华市疾病预防控制中心,浙江 金华 321002
Epidemiological characteristics of leptospirosis in Jinhua City from 2007 to 2024
LI Ke, PANG Zhifeng, WU Xiaohong, WANG Cheng, HE Yao, TANG Huiling
Jinhua Center for Disease Control and Prevention, Jinhua, Zhejiang 321002, China
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摘要 目的 分析2007—2024年浙江省金华市钩端螺旋体病(钩体病)流行特征,为完善钩体病防控策略提供依据。方法 通过中国疾病预防控制信息系统监测报告管理系统收集2007—2024年金华市钩体病病例资料,采用描述性流行病学方法分析钩体病时间、地区和人群分布特征,发病至诊断间隔时间和暴发疫情。结果 2007—2024年金华市累计报告钩体病病例81例,年均报告发病率为0.08/10万。发病高峰为8—9月,57例占70.37%。金华市9个县(市、区)均有钩体病病例报告,其中磐安县报告病例最多,52例占64.20%。男性54例,女性27例,男女比为2∶1;以>40岁为主,73例占90.12%。钩体病年均报告发病率随年龄增长呈上升趋势(P<0.05),60~<80岁组最高,为0.21/10万。职业以农民为主,77例占95.06%。发病至诊断间隔时间MQR)为4.00(6.00)d,东阳市与磐安县、武义县、婺城区,磐安县与金东区、婺城区,武义县与婺城区钩体病病例发病至诊断间隔时间比较,差异有统计学意义(均P<0.05)。2007年报告1起钩体病暴发疫情,发生在磐安县九和乡,报告病例36例。结论 2007—2024年金华市钩体病报告发病率总体较低,8—9月为高发时间,磐安县为高发地区,男性、>40岁和农民是重点防控人群,建议加强疫情监测和高发人群健康教育。
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李克
庞志峰
吴晓虹
王诚
何瑶
唐慧玲
关键词 钩端螺旋体病发病率流行特征    
AbstractObjective To analyze the epidemiological characteristics of leptospirosis in Jinhua City, Zhejiang Province, from 2007 to 2024, so as to provide a basis for improving the prevention and control strategies of leptospirosis. Methods Data pertaining to leptospirosis cases in Jinhua City from 2007 to 2024 were collected through the Monitoring and Reporting Management System of the Chinese Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the distribution characteristics of leptospirosis in terms of time, region, population, interval from the onset of the disease to diagnosis and the outbreak of the epidemic. Results A total of 81 cases of leptospirosis were reported in Jinhua City from 2007 to 2024, with an average annual reported incidence of 0.08/105. The peak incidence occurred from August to September, with 57 cases accounting for 70.37%. Leptospirosis cases were reported in 9 counties (cities, districts) in Jinhua City. Pan'an County reported the most cases, with 52 cases accounting for 64.20%. There were 54 male cases and 27 female cases, with a male-to-female ratio of 2∶1. The majority of cases were aged over 40 years, with 73 cases accounting for 90.12%. The average reported incidence of leptospirosis showed an upward trend with the increase of age (P<0.05), and the highest incidence of leptospirosis was at the 60-<80 age group (0.21/105). The majority of patients were farmers, with 77 cases accounting for 95.06%. The median interval from onset to diagnosis was 4.00 (interquartile range, 6.00) days. There were significant differences in the interval from onset to diagnosis among cases in Dongyang City compared with Pan'an County, Wuyi County, and Wucheng District, between Pan'an County and Jindong District, Wucheng District, and between Wuyi County and Wucheng District (all P<0.05). In 2007, one outbreak of leptospirosis was reported, which occurred in Jiuhe Township, Pan'an County, with 36 reported cases. Conclusions The reported incidence of leptospirosis in Jinhua City from 2007 to 2024 is generally low. The high-incidence period is from August to September, and Pan'an County is the high-incidence area. Males over 40 years and farmers are the key populations for prevention and control. It is recommended to strengthen epidemic surveillance and health education for high-risk populations.
Key wordsleptospirosis    incidence    epidemiological characteristics
收稿日期: 2025-03-31      修回日期: 2025-07-20      出版日期: 2025-08-10
中图分类号:  R514.4  
作者简介: 李克,本科,主管医师,主要从事疾病控制工作
通信作者: 庞志峰,E-mail:13735696037@163.com   
引用本文:   
李克, 庞志峰, 吴晓虹, 王诚, 何瑶, 唐慧玲. 2007—2024年金华市钩端螺旋体病流行特征分析[J]. 预防医学, 2025, 37(8): 818-821.
LI Ke, PANG Zhifeng, WU Xiaohong, WANG Cheng, HE Yao, TANG Huiling. Epidemiological characteristics of leptospirosis in Jinhua City from 2007 to 2024. Preventive Medicine, 2025, 37(8): 818-821.
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https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.08.013      或      https://www.zjyfyxzz.com/CN/Y2025/V37/I8/818
[1] ACOSTA-ESPAÑA J D,ROMERO-ALVAREZ D,LUNA C,et al.Infectious disease outbreaks in the wake of natural flood disasters:global patterns and local implications[J].Infez Med,2024,32(4):451-462.
[2] ZILIOTTO M,CHIES J A B,ELLWANGER J H.Extreme weather events and pathogen pollution fuel infectious diseases:the 2024 flood-related leptospirosis outbreak in southern Brazil and other red lights[J].Pollutants,2024,4(3):424-433.
[3] COSTA F,HAGAN J E,CALCAGNO J,et al.Global morbidity and mortality of leptospirosis:a systematic review[J/OL].PLoS Negl Trop Dis,2015,9(9)[2025-07-20].https://doi.org/10.1371/journal.pntd.0003898.
[4] 师悦,耿梦杰,周升,等.2010—2022年我国钩端螺旋体病流行病学特征[J].中国血吸虫病防治杂志,2024,36(2):130-136.
SHI Y,GENG M J,ZHOU S,et al.Epidemiological characteristics of leptospirosis in China from 2010 to 2022[J].Chin J Schisto Control,2024,36(2):130-136.(in Chinese)
[5] 龚震宇. 浙江省病媒生物监测工作进展[J].预防医学,2021,33(11):1081-1085.
GONG Z Y.Progress of vector surveillance in Zhejiang Province[J].China Prev Med J,2021,33(11):1081-1085.(in Chinese)
[6] 施旭光,姜理平,孙继民,等.浙江省钩端螺旋体病10年监测结果分析[J].浙江预防医学,2016,28(6):550-552,556.
SHI X G,JIANG L P,SUN J M,et al.An analysis on leptospirosis surveillance of ten years in Zhejiang Province[J].China Prev Med J,2016,28(6):550-552,556.(in Chinese)
[7] 郭颂,姚文武,刘营,等.2018—2022年浙江省钩端螺旋体病流行特征与时空聚集性分析[J].中国人兽共患病学报,2024,40(9):855-859.
GUO S,YAO W W,LIU Y,et al.Epidemiological characteristics and spatiotemporal clustering analysis of leptospirosis in Zhejiang Province from 2018 to 2022[J].Chin J Zoonoses,2024,40(9):855-859.(in Chinese)
[8] WANG Z L,LI K,LIU Y H,et al.Changing epidemiology of leptospirosis in China from1955 to 2022[J/OL].Infect Dis Poverty,2025,14(1)[2025-07-20].https://doi.org/10.1186/s40249-025-01284-x.
[9] 徐国英,祝寒松,刘维俊,等.福建省2015—2020年钩端螺旋体病流行状况分析[J].中华流行病学杂志,2022,43(4):548-553.
XU G Y,ZHU H S,LIU W J,et al.Incidence of leptospirosis in Fujian province,2015-2020[J].Chin J Epidemiol,2022,43(4):548-553.(in Chinese)
[10] 于彬彬,杨慧,杨秋菊,等.2011—2021年云南省钩端螺旋体病流行病学分析[J].中国人兽共患病学报,2023,39(2):135-139.
YU B B,YANG H,YANG Q J,et al.Epidemiological analysis of leptospirosis in Yunnan Province,China,from 2011 to 2021[J].Chin J Zoonoses,2023,39(2):135-139.(in Chinese)
[11] ZHOU Y Y,WANG X M,LI H J,et al.Epidemiological trends and clinical characteristics of human leptospirosis in Wenzhou,Zhejiang Province,China,2020-2022[J].J Infect Dev Ctries,2024,18(11):1709-1714.
[12] 金培,沈锦栋,吴森清.金华历史影响台风时空分布特征统计分析[J].浙江气象,2008(2):1-3,30.
JIN P,SHEN J D,WU S Q.Statistical analysis of temporal and spatial distribution characteristics of typhoon affected by Jinhua history[J].J Zhejiang Meteorol,2008(2):1-3,30.(in Chinese)
[13] EHELEPOLA N D B,ARIYARATNE K,DISSANAYAKE D S.The interrelationship between meteorological parameters and leptospirosis incidence in Hambantota district,Sri Lanka2008-2017 and practical implications[J/OL].PLoS One,2021,16(1)[2025-07-20].https://doi.org/10.1371/journal.pone.0245366.
[14] SYAKBANAH N L,FUAD A.Human leptospirosis outbreak:a year after the ‘cempaka’ tropical cyclone[J].J Kesehatan Lingkungan,2021,13(4):211.
[15] DEMIDOVA T N,SHARAPOVA N E,GORSHENKO V V,et al.Epidemiological manifestation of combined natural foci of tularemia,leptospirosis and hemorrhagic fever with renal syndrome:mixed infections[J].Epidemiol Vaccinal Prev,2022,21(2):38-45.
[16] COMIA I R,MANUEL L,MIAMBO R D,et al.A cross sectional study on the bidirectional interactions between leptospirosis and HIV infection among patients from Maputo central hospital,Mozambique[J].Res Rep Trop Med,2024,15:1-11.
[17] 胡跃强,庞志峰.36例钩端螺旋体病暴发调查[J].中华流行病学杂志,2009,30(2):204-204.
HU Y Q,PANG Z F.Eidemiological investigation on an outbreak of leptospirosis involving 36 patients[J].Chin J Epidemiol,2009,30(2):204-204.(in Chinese)
[18] 应凯满,张孟田.2007—2009年浙江省磐安县钩端螺旋体病宿主动物监测分析[J].疾病监测,2011,26(1):40-41.
YING K M,ZHANG M T.Surveillance of host animals of leptospirosis in Pan'an county,Zhejiang Province,2007-2009[J].Dis Surveill,2011,26(1):40-41.(in Chinese)
[19] 马小勇,孙逸戈.经济发达地区农业内部劳动力市场发育现状——基于对浙江温州和金华的调查[J].中国经济报告,2021(1):100-104.
MA X Y,SUN Y G.Development status of agricultural internal labor market in economically developed areas:based on the investigation of Wenzhou and Jinhua in Zhejiang Province[J].China Policy Review,2021(1):100-104.(in Chinese)
[20] 叶向阳. 城郊农村劳动力流动影响因素及机制研究——以金华市为例[D].金华:浙江师范大学,2021.
YE X Y.Study on the influencing factors and mechanism of rural labor mobility in suburbs[D].Jinhua:Zhejiang Normal University,2021.(in Chinese)
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