Epidemiological characteristics analysis of foodborne diseases outbreaks in Nanning City from 2013 to 2022

Abstract

Abstract: Objective To analyze the epidemiological characteristics of foodborne diseases outbreaks in Nanning City from 2013 to 2022,and provide decision-making basis for the prevention and control of foodborne diseases outbreaks in Nanning City. Methods Descriptive epidemiological analysis was conducted on foodborne disease outbreaks reported in Nanning City from 2013 to 2022. Results A total of 169 outbreaks of foodborne diseases were reported in Nanning City,with a cumulative incidence of 1 251 cases,540 hospitalizations,and 8 deaths. The annual average number of reported outbreaks was 16.9,with an average of 7.4 reported cases per incident. Autumn was the season with the highest number of cases and hospitalizations. The proportion of hospitalized patients in county areas was higher than that in urban areas,and the incidence was mainly in families. The number of incidents caused by poisonous mushrooms was the highest,the number of cases caused by meat and meat products was the highest,the number of hospitalizations caused by tung oil/tung oil fruit was the highest,and the number of deaths caused by gelsemium elegans was the highest. The two main pathogenic pathways causing foodborne disease outbreaks were incidents related to pathogenic microorganisms caused by ingestion and misuse of toxic plants and their toxins,as well as poisoning,improper storage,and processing of poisonous mushrooms. Conclusion It is recommended to strengthen food safety education focused on identifying toxic plants and their toxins,toxic mushrooms,and various pathogenic microorganisms in rural households,as well as food storage and processing. The reporting mechanism for foodborne diseases should be strengthened and improved,and food safety education and supervision should be strengthened in key places such as restaurants and collective canteens. Early warnings should be issued in a timely manner during the peak season of foodborne disease outbreaks.

Key words: Foodborne disease, Outbreak, Epidemiological characteristics, Food safety

CLC Number:

R135.3⁺4

LIU Chuangshan, WANG Shiqiong, SHI Xiangdong, ZHUO Futuan, WEI Yang, LU Yuning. Epidemiological characteristics analysis of foodborne diseases outbreaks in Nanning City from 2013 to 2022. [J]OCCUPATION AND HEALTH, 2024, 40(14): 1915-1919.

References

[1] TIMOTHY F,JONES,J Y.Foodborne disease outbreaks in the United States:A historical overview[J].Foodborne Pathog Dis,2018,15(1):11-15.
[2] CARLETON H A,BESSER J,WILLIAMS,NEWKIRK A J,et al.Metagenomic approaches for public health surveillance of foodborne infections:opportunities and challenges[J].Foodborne Pathog Dis,2019,16(7):474-479.
[3] BARTELME Z M.WHO estimates global burden of foodborne diseases[J].Food Technology,2016,70(2):434.
[4] 李世聪,闻剑,梁骏华,等.广东省学生食源性疾病病例特征分析[J].疾病预防控制通报,2021,36(4):47-50.
[5] 陈文,许毅,林黎.2019年四川省食源性疾病暴发事件分析[J].预防医学情报杂志,2021,37(8):1064-1068,1074.
[6] 陈留萍,赵江,刘志涛.2015—2019年云南省家庭食源性疾病暴发事件分析[J].中国食品卫生杂志,2021,33(4):440-443.
[7] 王佳慧,李楠,陶婉婷,等.2014—2019年媒体报道食源性疾病事件分析[J].中国食品卫生杂志,2021,33(2):181-185.
[8] 陈磊,牛蓓,田美娜,等.2010—2016年河北省食源性疾病暴发事件流行特征分析[J].医学动物防制,2019,35(2):377-382.
[9] 国家食品安全风险评估中心,2017年国家食源性疾病监测工作手册[Z].北京市,2017:7.
[10] 刘仁泉,曹建国,杨平华,等.2010—2019年云南省昭通市食源性疾病暴发情况分析[J].公共卫生与预防医学,2022,33(2):69-72.
[11] 夏琳琳,邱爽,王若彤,等.2011—2020年中国食源性疾病暴发的时空趋势[J].卫生研究,2023,52(2):226-231.
[12] 蒋玉艳,石萌萌,姚雪婷,等.2010—2016年广西报告的食源性疾病暴发事件分析[J].现代预防医学,2018,45(21):4013-4017.
[13] 谢艺红,刘银品,钟延旭,等.2013—2017年广西食源性疾病暴发事件分析[J].广西医科大学学报,2021,38(1):178-182.
[14] 林黎,陈文,兰祎婷,等.2010—2020年四川省食源性疾病暴发事件流行特征分析[J].职业与健康,2022,38(3):313-316.
[15] 贾豫晨,戚艳波,郑尔达,等.2007—2016 年云南省食物中毒事件流行病学特征分析[J].现代预防医学,2017,44(20):3691-3695.
[16] 周彦,张锦周,刘建平,等.2015—2017 年深圳市食物中毒流行病学特征分析[J].中国食品卫生杂志,2018,30(4):372-375.
[17] 朱兰兰,黄梅香,王正通,等.2011—2017 年三亚市食物中毒的流行病学分析[J].现代预防医学,2018,45(14):2534-2537.
[18] 陈慧中,刘博,刘丰瑜,等.2018 年沈阳市食源性疾病监测结果[J].职业与健康,2019,35(19):2638-2641.
[19] 李薇薇,王三桃,梁进军,等.2013 年中国大陆食源性疾病暴发监测资料分析[J].中国食品卫生杂志,2018,30(3):293-298.
[20] 耿雪峰,李薇薇,张晶,等.2002—2016 年中国单位食堂食源性疾病暴发事件归因分析[J].卫生研究,2019,48(1):66-69.
[21] 艳敏,滕臣刚,张梦寒,等.2014—2018 年苏州市食源性疾病暴发事件流行特征分析[J].现代预防医学,2020,47(2):215-218,232.
[22] 高飞,张剑峰,刘忠卫.黑龙江省2013—2015 年食物中毒事件流行病学分析[J].中国公共卫生管理,2018,34(5):683-686.
[23] 石梦蝶,伍雅婷,王肖,等.2014—2018 年武汉市食物中毒事件流行特征分析[J].现代预防医学,2019,46(19):3620-3625.
[24] 郑娜,刘银镖,徐志刚.2010—2018 年郑州市中牟县食物中毒流行病学特征[J].职业与健康,2019,35(16):2195-2198.
[25] 曾建辉,刘志涛,李娟娟,等.云南省食源性疾病暴发事件流行特征及预测模型建立[J].职业与健康,2018,34(3):325-328.