Abstract：Objective To identify the causative factors, suspicious foods and risk sources of a foodborne disease outbreak in an enterprise, and to provide a basis for investigation, disposal and prevention of similar incidents. Methods Descriptive epidemiological methods were used to analyze the clinical characteristics, epidemiological characteristics and related risk factors of the cases. We performed retrospective cohort and case-control studies to identify suspicious meals and foods, collect cases' and kitchen workers' anal swabs, and reserve food samples. The outer peripheral surface of tableware and environmental samples were tested for etiology, and pulsed field gel electrophoresis (PFGE) was employed for homology analysis of Salmonella-positive strains. Results A total of 53 cases were found, with an attack rate of 13.02% (53/407). The main clinical manifestations were diarrhea (100.00%), fever (90.57%), abdominal pain (66.04%), etc. Some cases were accompanied by dizziness, headache, fatigue, nausea, vomiting and other symptoms. The epidemic curve showed that the outbreak was a unimodal distribution pattern of point source outbreak after a single exposure. The results of a retrospective cohort study displayed that there was a statistically significant difference in the incidence among those who ate lunch on July 30 (RR=8.87, 95%CI:1.25-62.90). The results of a case-control study revealed that the original recipe roast duck for lunch on July 30 was suspicious food (OR=435.00, 95%CI:37.38-5,061.97). The dose-response relationship indicated that the more the original recipe roast duck was eaten, the higher the risk of the disease ( χ2trend=38.25,P<0.05). A total of 51 samples were collected, of which Salmonella strains were isolated from 33 samples. PFGE analysis demonstrated that there were 3 types of bands. Salmonella London strain was the dominant serotype, and there were Salmonella Indiana and Salmonella Bellevue strains. Conclusion This incident was a foodborne disease outbreak caused by multi-serotype Salmonella. Salmonella monitoring, typing and cluster analysis should be further strengthened to grasp the dynamics of dominant serotypes.
倪锡河, 龙冬玲, 方艳梅, 戴含新, 阮峰. 一起多型别沙门菌引起的企业饭堂食源性疾病暴发的溯源分析[J]. 实用预防医学, 2023, 30(3): 270-274.
NI Xi-he, LONG Dong-ling, FANG Yan-mei, DAI Han-xin, RUAN Feng. Traceability analysis on an outbreak of foodborne disease caused by multi-serotype Salmonella in dining hall of an enterprise. , 2023, 30(3): 270-274.
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