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| Epidemiological characteristics of foodborne disease outbreaks in Shaoxing City from 2012 to 2022 |
| XING Chao1, WANG Qimei1, REN Jianglei1, CHEN Jiming2, HE Qinfen2, JIANG Zhuojing2
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1. Department of Nutrition, Food Safety, Shaoxing Center for Disease Control, Prevention, Shaoxing, Zhejiang312071, China;
2. Shaoxing Center for Disease Control, Prevention, Shaoxing, Zhejiang312071, China |
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Abstract Objective To investigate the epidemiological characteristics of foodborne disease outbreaks in Shaoxing City, Zhejiang Province, from 2012 to 2022, so as to provide the evidence for improving the foodborne disease control strategy. Methods Foodborne disease outbreaks in Shaoxing City from 2012 to 2022 were collected from National Foodborne Disease Outbreak Monitoring System in China, including populations, places of outbreak, pathogenic factors and suspected foods. The temporal distribution, regional distribution, distribution of outbreak places and pathogenic factors of foodborne disease outbreaks were descriptively analyzed. Results A total of 89 foodborne disease outbreaks were reported in Shaoxing City from 2012 to 2022, covering totally 699 patients, with an average annual attack rate of 6.35%. The outbreak peaked during the period between June and October (73 outbreaks, 82.02%), and family was the predominant place of outbreak (41 outbreaks, 46.07%). There were 83 outbreaks with known pathogenic factors, including 51 outbreaks caused by microbial factors, with Vibrio parahaemolyticus, Salmonella and norovirus as predominant pathogens, and 29 outbreaks caused by fungi and their toxins, which were all poisonous mushrooms poisoning, resulting in 2 deaths. In addition, there were 3 outbreaks caused by chemical factors. Conclusions The outbreak of foodborne diseases predominantly occurred in summer and autumn in Shaoxing City from 2012 to 2022. Family was the predominant place of outbreak, and toxic mushroom poisoning was the most lethal pathogenic factor.
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Received: 10 April 2023
Revised: 12 May 2023
Published: 13 June 2023
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[1] OMARI R,FREMPONG G.Food safety concerns of fast food consumers in urban Ghana[J].Appetite,2016(98):49-54.
[2] World Health Organization.Food Safety[EB/OL].[2023-05-12].https://www.who.int/en/news-room/fact-sheets/detail/food-safety.
[3] 陈莉莉,章荣华,孙亮,等.2010—2015年浙江省食源性疾病暴发事件监测数据分析[J].卫生研究,2018,47(4):666-669.
[4] 王瑶,李晓辉,何志凡,等.2013—2019年成都市食源性疾病暴发事件监测数据分析[J].预防医学情报杂志,2020,36(11):1445-1449.
[5] 朱慧丽,陈彦哲,姜松强.2017—2019年郑州市食源性疾病暴发事件监测分析[J].职业与健康,2021,37(20):2858-2863.
[6] 赵江,闵向东,张强,等.云南省2013年至2017年食源性疾病暴发事件监测分析[J].昆明医科大学学报,2018,39(6):118-123.
[7] 刘忠卫,高飞,张剑峰,等.黑龙江省2014—2018年食源性疾病暴发事件监测结果分析[J].中国公共卫生管理,2020,36(3):392-396.
[8] 付萍,王连森,陈江,等.2015年中国大陆食源性疾病暴发事件监测资料分析[J].中国食品卫生杂志,2019,31(1):64-70.
[9] 陈高尚,吕恭进,申屠平平,等.“十二五”时期金华市食源性疾病暴发事件流行病学分析[J].预防医学,2016,28(9):907-909,912.
[10] 林丹,王黎荔,高四海,等.2011—2016年温州市食源性疾病暴发事件监测资料分析[J].卫生研究,2017,46(5):837-840.
[11] 陈莉莉,陈江,廖宁波,等.2019年浙江省食源性疾病暴发事件监测数据分析[J].中国卫生检验杂志,2021,31(20):2554-2560.
[12] 郭旦怀,崔文娟,郭云昌,等.基于大数据的食源性疾病事件探测与风险评估[J].系统工程理论与实践,2015,35(10):2523-2530.
[13] 褚发军,冉陆,马莉,等.2008—2010年全国突发公共卫生事件网络报告食物中毒流行病学分析[J].中国食品卫生杂志,2012,24(4):387-390.
[14] 韩东方,俞丹丹,李晨晨,等.2014—2020年金山区食源性疾病监测结果[J].预防医学,2022,34(1):91-94. |
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