Epidemiological features of nontyphoidal Salmonella infections reported to foodborne disease surveillance system in china, 2013–2022

医学 流行病学 沙门氏菌 公共卫生 生物统计学 环境卫生 中国 疾病监测 病毒学 内科学 病理 生物 细菌 政治学 遗传学 法学
作者
Tongyu Wang,Weiwei Li,Ronghua Zhang,Jianguo Wen,Shuang Liu,Yuyan Jiang,Li Lin,Weiwei Chen,Jinjun Liang,Xiaochen Ma,Yijing Zhou,Haihong Han,Ji‐Kai Liu,Penghui Fan,Yunchang Guo,Linlin Wang
出处
期刊:BMC Public Health [BioMed Central]
卷期号:25 (1) 被引量:2
标识
DOI:10.1186/s12889-025-23439-z
摘要

Nontyphoidal Salmonella (NTS) is the most commonly reported foodborne gastrointestinal infection and ranks among the top three causes of foodborne bacterial outbreaks in China. This study analyzed NTS data from the Foodborne Disease Surveillance System in China from 2013 to 2022 to summarize epidemiological features and assess reporting rate changes. We employed joinpoint regression model to calculate the annual percentage change in NTS reporting rate, sex reporting rate, as well as rural-urban reporting rate. We applied the Pearson correlation coefficient to evaluate the correlation of NTS reporting rate and the national per capita consumption of major foods and cases of COVID-19. During this period, 55,266 NTS cases were reported, with reporting rates increasing significantly (AAPC [CRR] = 21.89%). Urban areas accounted for 70.06% of cases, but rural patients had higher hospitalization rates than urban ones (41.54% vs. 33.69%, p < 0.001). Children aged 0-4 years constituted 53.59% of cases and showed higher hospitalization rates (p < 0.05). Salmonella Typhimurium (31.07%) and Enteritidis (15.89%) were the leading serotypes. NTS reporting rates were strongly correlated with national per-capita consumption of fruit (r = 0.98), poultry (r = 0.95), aquatic products (r = 0.95), eggs (r = 0.94), vegetables (r = 0.79), dairy (r = 0.73), and meat (r = 0.65). This study highlights the growing public health burden of Salmonella infection in China, with a sharp rise in reporting rates and major rural-urban differences. Over half of the cases involved children under 5 years old, underscoring the urgent need to enhance food safety measures, particularly for vulnerable populations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
夏姬宁静发布了新的文献求助10
刚刚
古柳发布了新的文献求助10
1秒前
美好时光完成签到 ,获得积分10
2秒前
redmoon完成签到,获得积分10
2秒前
文献狗完成签到,获得积分10
4秒前
Yi完成签到,获得积分10
5秒前
哈哈哈完成签到,获得积分10
6秒前
小虫完成签到,获得积分10
7秒前
Shaohan完成签到,获得积分10
7秒前
hwq123完成签到,获得积分10
8秒前
weng完成签到,获得积分10
9秒前
充电宝应助古柳采纳,获得10
10秒前
想毕业的笑笑完成签到,获得积分10
10秒前
岳ma77完成签到,获得积分20
11秒前
王继完成签到,获得积分10
11秒前
卡片完成签到,获得积分10
12秒前
背后如之完成签到,获得积分10
12秒前
13秒前
Jzhaoc580完成签到 ,获得积分10
14秒前
胡思乱响完成签到,获得积分10
15秒前
hahaha6789y完成签到,获得积分10
15秒前
想毕业的猫猫完成签到,获得积分10
16秒前
oy完成签到,获得积分10
16秒前
愤怒的水绿完成签到,获得积分10
17秒前
xiaowang发布了新的文献求助10
18秒前
浮尘完成签到 ,获得积分0
18秒前
舒心的夜完成签到,获得积分10
18秒前
hahaha2完成签到,获得积分10
18秒前
syltharion完成签到,获得积分10
18秒前
maybe完成签到,获得积分10
19秒前
sheep完成签到,获得积分10
19秒前
James完成签到,获得积分10
19秒前
simon666完成签到,获得积分10
20秒前
Miya完成签到 ,获得积分10
20秒前
徐彬荣完成签到,获得积分10
20秒前
LGA1700完成签到,获得积分10
21秒前
Paff完成签到,获得积分10
21秒前
Tom2077完成签到,获得积分10
21秒前
Walton完成签到,获得积分10
21秒前
MaxwellZH完成签到,获得积分10
21秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6663338
求助须知:如何正确求助?哪些是违规求助? 8413298
关于积分的说明 17984576
捐赠科研通 5867505
什么是DOI,文献DOI怎么找? 2975063
邀请新用户注册赠送积分活动 1950952
关于科研通互助平台的介绍 1876840