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ObjectiveTo analyze the epidemiological characteristics of pathogens in foodborne disease cases in Haining City, Zhejiang Province, and to provide a basis for the prevention and investigation of foodborne diseases and outbreak events.MethodsInformation on foodborne disease patients from 2014 to 2023 was collected, and stool or anal swab samples were tested for relevant pathogens. The χ2 test was used to compare the differences in pathogen detection rates among different groups, and multivariate logistic regression analysis was used to analyze the risk factors for pathogen detection.ResultsA total of 5 814 samples were tested, with a positive detection rate of 15.36%. The detection rates were 4.95% for norovirus, 4.49% for Escherichia coli, 3.59% for Salmonella, 2.22% for Vibrio parahaemolyticus, and 0.11% for Shigella. The positive detection rates showed seasonal characteristics, with a minor peak in March-April dominated by norovirus and a major peak in July-September dominated by bacteria. The three groups with the highest detection rates were workers, white-collar workers and other groups. Multivariate logistic regression analysis showed that age, season, and antibiotic use before consultation were significant influencing factors for pathogen detection (P |
