[1]陈华英,蒋志芳.2020-2022年上饶市铅山县食源性疾病主动监测病原学及流行病学特征分析[J].医学信息,2023,36(22):53-56.[doi:10.3969/j.issn.1006-1959.2023.22.011]
　CHEN Hua-ying,JIANG Zhi-fang.Analysis of Etiology and Epidemiological Characteristics of Active Surveillance of Foodborne Diseases in Yanshan County of Shangrao City from 2020 to 2022[J].Journal of Medical Information,2023,36(22):53-56.[doi:10.3969/j.issn.1006-1959.2023.22.011]
点击复制

2020-2022年上饶市铅山县食源性疾病主动监测病原学及流行病学特征分析()
分享到：

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
36卷
期数:
2023年22期
页码:
53-56
栏目:
公共卫生信息学
出版日期:
2023-11-15

文章信息/Info

Title:
Analysis of Etiology and Epidemiological Characteristics of Active Surveillance of Foodborne Diseases in Yanshan County of Shangrao City from 2020 to 2022
文章编号:
1006-1959（2023）22-0053-04
作者:
陈华英; 蒋志芳
（1.铅山县疾病预防控制中心检验科，江西 铅山 334500；2.铅山县人民医院检验科，江西 铅山 334500）
Author(s):
CHEN Hua-ying; JIANG Zhi-fang
(1.Laboratory Department of Yanshan County Center for Disease Control and Prevention,Yanshan 334500,Jiangxi,China;2.Laboratory Department of Yanshan County People’s Hospital Laboratory,Yanshan 334500,Jiangxi,China)
关键词:
食源性疾病; 主动监测; 病原学; 流行病学特征
Keywords:
Foodborne diseases; Active surveillance; Etiology; Epidemiological characteristics
分类号:
R155.3
DOI:
10.3969/j.issn.1006-1959.2023.22.011
文献标志码:
A
摘要:
目的 分析2020-2022年上饶市铅山县食源性疾病主动监测病原学及流行病学特征。方法 选取2020年1月-2022年6月上饶市铅山县食源性疾病主动监测的90例患者为研究对象，分析病原学检测结果，并从临床基础资料（年龄、性别、时间、人群分布、临床症状、进食场所）方面总结流行病学特征。结果 90例患者共分离出21株病原菌，检出率为23.33%，其中诺如病毒检出率最高，占比10.00%；病原菌在全年均可检出，且部分病原菌具有季节特点，不同季度沙门氏菌、诺如病毒检出率比较，差异有统计学意义（P＜0.05），不同季度其他病原菌检出率比较，差异无统计学意义（P＞0.05）；≤5岁年龄段中诺如病毒检出率最高，30~39岁年龄段中沙门氏菌检出率最高（P＜0.05），而不同年龄段志贺氏菌、副溶血性弧菌、致泻大肠埃希菌检出率比较，差异无统计学意义（P＞0.05）；不同性别占比比较，差异无统计学意义（P＞0.05），而家庭进食占比高于饭店、单位食堂、其他（P＜0.05），且腹泻、发热症状发生率均高于呕吐（P＜0.05）；人群分布以学生为主，占比61.11%（55/90），其次依次离职人员、家务及待业者、其他、农民。结论 上饶市铅山县食源性疾病病原菌以诺如病毒和沙门氏菌为主，≤5岁和30~39岁年龄段致病菌检出率最高，并且具有一定的流行季节、典型症状（腹泻、发热）、主要进食场所和人群。对此，相关部门因有针对性采取食源性疾病防控措施，以切实预防食源性疾病发生。
Abstract:
Objective To analyze the etiological and epidemiological characteristics of active surveillance of foodborne diseases in Yanshan County of Shangrao City from 2020 to 2022.Methods A total of 90 patients who were actively monitored for foodborne diseases in Yanshan County, Shangrao City from January 2020 to June 2022 were selected as the research objects. The results of pathogenic detection were analyzed, and the epidemiological characteristics were summarized from the aspects of clinical basic data (age, gender, time, population distribution, clinical symptoms, eating place).Results A total of 21 strains were isolated from 90 patients, the detection rate was 23.33% , among which Norovirus was the highest (10.00%). Pathogenic bacteria could be detected all year round, and some of them had obvious seasonal characteristics, There were significant differences in the detection rates of Salmonella and Norovirus in different quarters (P<0.05), but there was no significant difference in the detection rate of other pathogens in different quarters (P>0.05). The detection rate of norovirus was the highest in the age group of ≤5 years old, and the detection rate of salmonella was the highest in the age group of 30-39 years old (P<0.05), but there was no significant difference in the detection rates of Shigella, Vibrio parahaemolyticus and diarrheagenic Escherichia coli among different age groups (P>0.05). There was no significant difference in the proportion of different genders (P>0.05), while the proportion of family eating was higher than that of hotels, canteens and others (P<0.05), and the incidence of diarrhea and fever was higher than that of vomiting (P<0.05). The population distribution was dominated by students, accounting for 61.11% (55/90), followed by resignations, housework and unemployed, others, and farmers.Conclusion Norovirus and Salmonella are the main pathogens of foodborne diseases in Yanshan County, Shangrao City. The detection rate of pathogenic bacteria is the highest in the age group of ≤5 years old and 30-39 years old, and it has certain epidemic seasons, typical symptoms (diarrhea, fever), main eating places and population. In this regard, relevant departments have taken targeted measures to prevent and control foodborne diseases, in order to effectively prevent the occurrence of foodborne diseases.

参考文献/References:

[1]张峰,顾敏霞,章根华.浙江省宁海县2015年-2016年食源性疾病监测结果分析[J].中国卫生检验杂志,2017,27(15):2251-2253.[2]王彦波,李颖,李湛,等.2016年北京市顺义区食源性疾病主动监测实验室检测结果分析[J].预防医学情报杂志,2018,34(3):344-348.[3]章沙沙.2016年辽宁省盘锦市腹泻患者中食源性病原菌监测结果分析[J].中国卫生检验杂志,2017,27(18):2689-2692.[4]孙华闽,蒋叶,黄建萍,等.2015-2016年南通市食源性疾病主动监测结果分析[J].现代预防医学,2018,45(7):1323-1327.[5]林丹,王黎荔,山若青,等.2014年温州市 317例食源性疾病病例流行病学调查研究[J].中国预防医学杂志,2017,18(1):35-38.[6]]Li Y,Zhang S,He M,et al.Prevalence and molecular charac terization of Canpylobacter spp.isolated from patients with diar rhea in Shunyi,Beijing[J].Front Microbiol,2018(9):52.[7]王园园,李颖,张爽,等.2017 年北京市顺义区腹泻患者弯曲菌流行特征及耐药分析[J].疾病监测,2018,33(12):1048-1053.[8]Zhang ZK,Lai SJ,Yu JK,et al.Etiology of acute diarrhea in the elderly in China:A six -year observational study[J].PLoS One,2017,12(3):e0173881[9]何广概,黄潮新,曹传敏,等．105株沙门菌的血清型分布及药敏试验结果分析[J].广医学院学报,2017,34(2):192-194.[10]肖波,陶顺,徐洪琳,等.一起鼠伤寒沙门氏菌食物中毒的病原鉴定与同源性分析[J].职业卫生与病伤,2019,34(5):319-322.[11]刘靓,李兵兵,李双姝,等.淮安地区食源性沙门氏菌耐药性及分子分型研究[J].徐州医科大学学报,2017,37(10):664-667．[12]赵云清,殷锋科.2013-2019年开封市鼓楼区食源性疾病监测分析[J].河南预防医学杂志,2020,31(8):643-645．[13]李艳丽,程时秀,杨康,等.2013-2018年十堰市哨点医院食源性疾病主动监测数据分析[J].公共卫生与预防医学,2020,31(5):57-60．[14]刘伟,白婧,尹可欣,等.2015～2019年北京市海淀区食源性腹泻患者致泻大肠埃希氏菌型别分布和耐药性分析[J].现代检验医学杂志,2021,36(6):188-191.[15]秦思,沈赟,马恺,等.2018-2019年江苏省食源性疾病中致泻大肠埃希氏菌流行特征及耐药性分析[J].现代预防医学,2020,47(21):3884-3888.[16]杨舒然,裴晓燕,李莹,等.生食动物性水产品中副溶血性弧菌和创伤弧菌污染状况分析[J].中国食品卫生杂志,2019,31(6):574-576.[17]江玲玲,陈毅琼,王向东,等.2014-2017年上海市静安区食源性疾病监测分析[J].公共卫生与预防医学,2018,29(3):101-103.[18]于颖慧,夏威,施惠军,等.2017－2018年江苏省张家港市食源性疾病主动监测结果分析[J].医学动物防制,2020,36(5):498-501.[19]吕金昌,陈东宛,高彭,等.2017年～2019年北京市顺义区成年人食源性疾病主动监测结果分析[J].医学信息,2021,34(16):159-162.[20]张开菊,晏云富,刘小华,等.2015-2019年贵阳市食源性疾病主动监测流行病学及病原学分析[J].贵州医药,2021,45(9):1431-1433.

相似文献/References:

[1]李雪梅,狄 佳,冯诚怿.某三甲医院消毒灭菌连续三年主动监测效果分析[J].医学信息,2019,32(10):126.[doi:10.3969/j.issn.1006-1959.2019.10.042]
　LI Xue-mei,DI Jia,FENG Cheng-yi.Analysis on the Effect of Active Monitoring for Three Consecutive Years of Disinfection and Sterilization in a Top Three Hospital[J].Journal of Medical Information,2019,32(22):126.[doi:10.3969/j.issn.1006-1959.2019.10.042]
[2]田继贵,张黎黎,王娅芳,等.2018年贵州省粮食及其制品致食源性疾病病例监测结果分析[J].医学信息,2019,32(21):121.[doi:10.3969/j.issn.1006-1959.2019.21.039]
　TIAN Ji-gui,ZHANG Li-li,WANG Ya-fang,et al.Analysis on Surveillance Results of Foodborne Diseases Caused by Grain and Its Products in Guizhou Province in 2018[J].Journal of Medical Information,2019,32(22):121.[doi:10.3969/j.issn.1006-1959.2019.21.039]
[3]刘培培.2018年大丰城区菜市场熟食中致病菌检测情况分析[J].医学信息,2020,33(01):130.[doi:10.3969/j.issn.1006-1959.2020.01.040]
　LIU Pei-pei.Analysis on the Detection of Pathogenic Bacteria in Cooked Food in Dafeng District Vegetable Market in 2018[J].Journal of Medical Information,2020,33(22):130.[doi:10.3969/j.issn.1006-1959.2020.01.040]
[4]况强华.2019年青云谱区食源性疾病监测结果分析[J].医学信息,2020,33(08):135.[doi:10.3969/j.issn.1006-1959.2020.08.044]
　KUANG Qiang-hua,DENG Hong,ZHOU Jun-hua.Analysis of Surveillance Results of Foodborne Diseases in Qingyunpu District[J].Journal of Medical Information,2020,33(22):135.[doi:10.3969/j.issn.1006-1959.2020.08.044]
[5]廖 婵,曹应琼,梅丽敏.成都市郫都区沙门氏菌食物中毒事件调查分析[J].医学信息,2021,34(10):158.[doi:10.3969/j.issn.1006-1959.2021.10.046]
　LIAO Chan,CAO Ying-qiong,MEI Li-min.Investigation and Analysis of Salmonella Food Poisoning Incident in Pidu District, Chengdu[J].Journal of Medical Information,2021,34(22):158.[doi:10.3969/j.issn.1006-1959.2021.10.046]
[6]吕金昌,陈东宛,高 彭,等.2017年~2019年北京市顺义区成年人食源性疾病主动监测结果分析[J].医学信息,2021,34(16):159.[doi:10.3969/j.issn.1006-1959.2021.16.045]
　LYU Jin-chang,CHEN Dong-wan,GAO Peng,et al.Analysis of the Results of Active Surveillance of Adult food-borne Diseases in Shunyi District,Beijing from 2017 to 2019[J].Journal of Medical Information,2021,34(22):159.[doi:10.3969/j.issn.1006-1959.2021.16.045]

更新日期/Last Update: 1900-01-01