2014—2018年盘锦市食源性疾病监测结果分析

Surveillance results of foodborne diseases in Panjin City in 2014-2019

摘要:

目的：了解盘锦市食源性疾病的发病特点和流行趋势。方法：收集食源性疾病监测医院就诊病例的信息，采集疑似食源性疾病病例标本，根据时间、地区、人群、临床症状、可疑暴露食品、致病性微生物等因素进行统计分析。结果：2014-2018年盘锦市食源性疾病监测医院共上报5602例食源性疾病病例，其中第3季度为食源性疾病高发季节（69.46％）；兴隆台区上报2048例病例（36.56%）；男性2875人（51.32%），女性2727人（48.68%）；发病人群主要集中在25-34岁年龄段（10.62％）；发病最多的职业为家务及待业人员（29.08％）；可疑暴露食品中水产动物及其制品比例最大（18.16%）；可疑进食场所以家庭为主（69.80％）；主要致病菌为副溶血性弧菌（10.47%）。结论：加强对食源性疾病的重视程度，做好食品安全宣传教育工作，提高自我防范意识，降低食源性疾病发生的可能性，保障社会公众的身体健康；完善我市食源性疾病监测网络，加强能力建设，推进监测数据的有效利用，为政府部门制定食源性疾病防控措施提供指导和建议。

Abstract:

Objective To understand the characteristics and epidemic trend of foodborne diseases in Panjin City. Methods The information of patients in the foodborne disease monitoring hospital and samples of suspected foodborne disease cases were collected, and statistical analysis was conducted according to the time, region, population, clinical symptoms, suspected food exposure, pathogenic microorganisms and other factors. Results From 2014 to 2019 , a total of 6 425 cases of foodborne diseases were reported in Panjin foodborne disease surveillance hospital. The third quarter was the season with high incidence of foodborne diseases (70.99%). A total of 2 590 cases were reported in Xinglongtai District (40.31%). There were 3 261 males (50.75%) and 3 164 females (49.25%). Most of the patients were 25-34 years old (21.04%). The most common occupations were housework and unemployment (28.37%). Aquatic animals and their products accounted for the largest proportion (69.04%) in food with suspected exposure. Suspicious feeding places were dominated by families (18.44%). The main pathogen was Vibrio parahaemolyticus (9.00%). Conclusion It is important to pay more attention to foodborne diseases, strengthen food safety publicity and education, improve the awareness of self-prevention, reduce the possibility of foodborne diseases, and ensure the health of the public. Meanwhile, it is necessary to improve the city's foodborne disease monitoring network, strengthen the capacity-building, promote the effective use of monitoring data, and provide guidance and suggestions for government departments to develop foodborne disease prevention and control measures.