Abstract：Objective To analyze the epidemiological characteristics of Salmonella infection among foodborne disease cases in Jinhua City, Zhejiang Province from 2019 to 2024, so as to provide the evidence for strengthening the prevention and control of foodborne diseases. Methods Data on foodborne disease cases in Jinhua City from 2019 to 2024 were collected via the Zhejiang Provincial Foodborne Disease Surveillance and Reporting System. Stool or anal swab specimens were collected for Salmonella detection and serotype identification. Descriptive statistical analysis was performed to analyze the population, temporal and regional distribution, clinical manifestations and suspected food exposure of Salmonella infected cases. The concentration ratio method was used to explore the monthly distribution characteristics and concentration degree of Salmonella infection, and the circular distribution method was adopted to estimate the peak date and epidemic period of Salmonella infection. Results A total of 24 044 foodborne disease cases were reported in Jinhua City from 2019 to 2024, among which 1 376 Salmonella strains were isolated with a positive detection rate of 5.72%. A total of 96 Salmonella serotypes were identified, dominated by Salmonella Typhimurium (573 strains, accounting for 41.64%). The detection rates were relatively higher in children aged 0-<6 years and scattered children, reaching 16.56% and 17.48%, respectively. The high incidence period was from May to October with detection rates ranging from 5.55% to 8.75%. The concentration ratio M was 0.48, indicating obvious seasonal distribution of Salmonella infection. The peak date of infection was July 24th, and the peak period of infection was from May 15th to October 2nd. Yongkang City and Dongyang City had higher positive rates of 11.41% and 10.87% separately. Among cases infected with Salmonella, the main clinical symptoms were diarrhea and abdominal pain, involving 1 369 cases (99.49%) and 785 cases (57.05%). Infant food, store-sold food and bulk food had higher Salmonella positive rates at 15.38%, 8.14% and 6.35% respectively. Conclusions Salmonella Typhimurium was the predominant serotype of Salmonella infection among foodborne disease cases in Jinhua City from 2019 to 2024. The infection peaks in summer and autumn. Children were the key population for prevention and control, and Yongkang City and Dongyang City were key priority areas. Priority supervision should be strengthened on infant food, store-sold food and bulk food.
[1] ALGARNI S,RICKE S C,FOLEY S L,et al.The dynamics of the antimicrobial resistance mobilome of Salmonella enterica and related enteric bacteria[J/OL].Front Microbiol,2022,13[2026-03-26].https://doi.org/10.3389/fmicb.2022.859854. [2] WANG Y N,LIU Y,LYU N,et al.The temporal dynamics of antimicrobial-resistant Salmonella enterica and predominant serovars in China[J/OL].Natl Sci Rev,2023,10(3)[2026-03-26].https://doi.org/10.1093/nsr/nwac269. [3] LI T Y,QIANG N,BAO Y J,et al.Global burden of enteric infections related foodborne diseases,1990-2021:findings from the Global Burden of Disease Study 2021[J/OL].Sci One Health,2024,3[2026-03-26].https://doi.org/10.1016/j.soh.2024.100075. [4] CHEN J Q,HUANG L L,AN H L,et al.One Health approach probes zoonotic non-typhoidal Salmonella infections in China:a systematic review and meta-analysis[J/OL].J Glob Health,2024,14[2026-03-26].https://doi.org/10.7189/jogh.14.04256. [5] WENG R,GU Y H,ZHANG W,et al.Whole-genome sequencing provides insight into antimicrobial resistance and molecular characteristics of Salmonella from livestock meat and diarrhea patient in Hanzhong,China[J/OL].Front Microbiol,2022,13[2026-03-26].https://doi.org/10.3389/fmicb.2022.899024. [6] CHEN L L,WANG J K,ZHANG R H,et al.Surveillance of household foodborne disease outbreaks in Zhejiang Province,China,2010-2022[J/OL].Food Microbiol,2024,124[2026-03-26].https://doi.org/10.1016/j.fm.2024.104612. [7] 陈高尚,陈梦安.金华市食源性疾病监测结果分析[J].预防医学,2018,30(12):1234-1237. [8] 任丽君,蔡旺林,朱一民.应用集中度和圆形分布法分析2009—2023年石景山区手足口病季节性特征[J].华南预防医学,2025,51(3):311-314. [9] 姜叶,周潇潇,沈伟伟,等.2020年—2022年浙江省台州市食源性疾病病原体流行特征分析[J].中国卫生检验杂志,2023,33(19):2413-2417. [10] 王琦梅,章佳宇,张炎艳,等.绍兴市食源性疾病监测结果[J].预防医学,2019,31(7):712-714,718. [11] 王玲莉,黄利明,刘辉.2012—2020年杭州市食源性疾病监测与流行病学分析[J].中国食品卫生杂志,2023,35(6):922-927. [12] 王黎荔,林丹,高四海,等.温州市食源性疾病流行特征分析[J].预防医学,2021,33(3):306-308. [13] 陈江,齐小娟,陈莉莉,等.浙江省非伤寒沙门菌和副溶血性弧菌急性胃肠炎疾病负担[J].预防医学,2024,36(9):755-759. [14] 王玲莉,郑伟,杨旭辉,等.杭州市食源性沙门菌病流行病学特征分析[J].中国预防医学杂志,2025,26(6):728-734. [15] 吴洋妍妍,吴诗蓝,罗璨,等.湖南省2014—2023年沙门菌食源性疾病流行病学特征分析[J].现代预防医学,2025,52(21):3922-3927,4015. [16] 吴晓芳,徐德顺,纪蕾,等.2018—2020年浙江省湖州市食源性疾病监测结果分析[J].疾病监测,2021,36(9):958-962. [17] 孙炀明,林云,罗建勇,等.2017—2019年嘉兴市食源性疾病监测结果分析[J].中国公共卫生管理,2021,37(2):217-219. [18] 王凯琳,刁文丽,宋蕴奇,等.2014—2022年辽宁省食源性沙门氏菌流行病学特征分析[J].实用预防医学,2024,31(12):1462-1466. [19] 李永利,翟志雷,张焱.沙门氏菌和副溶血性弧菌引起的食源性疾病暴发事件中病例临床症状分布特征比较[J].现代疾病预防控制,2023,34(12):906-911. [20] 马恺,周翌婧,郑东宇,等.2015—2020年江苏省食源性疾病主动监测沙门氏菌情况分析[J].公共卫生与预防医学,2022,33(6):33-37.
