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Analysis of Salmonella contamination in food and its detection in cases of infectious diarrhea in Taizhou City from 2015 to 2017 / 中华疾病控制杂志
Chinese Journal of Disease Control & Prevention ; (12): 877-880, 2019.
Article in Chinese | WPRIM | ID: wpr-779433
ABSTRACT
Objective To study the distribution of Salmonella in food and diarrhea cases in Taizhou City. Methods 339 samples of commercially available food, 201 samples of meat production process and 1 606 stool samples of diarrhea cases were collected. Salmonella was identified and serologically classified according to national food safety standards. Results The detection rate of Salmonella in 9 types of foods form 2015 to 2017 was 4.4% (15/339), and the detection rates of raw poultry, raw meat and raw aquatic products were 27.5%, 7.5% and 2.5%, respectively. Among the samples collected during the meat production process, the total detection rate of Salmonella was 6.5% (13/201), and the detection rates of raw materials and intermediate products were 35.7% and 28.6%, respectively. From 2015 to 2017, the average detection rate of Salmonella in stool samples collected from 3 medical institutions was 4.9% (79/1 606). The detection rate of children under 5 years old (7.3%) was higher than other age groups ( 2=20.63, P<0.01). Among the suspected food items for diarrhea, the top three were poultry and livestock (28.6%), dairy products (25.0%) and fruits (25.0%). A total of 21 Salmonella serotypes were identified from commercially available food and patient samples. Conclusions There is a high pollution rate of Salmonella in commercial food and a high detection rate in diarrhea cases in Taizhou City. Food monitoring, supervision and publicity education should be strengthened.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Disease Control & Prevention Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Disease Control & Prevention Year: 2019 Type: Article