nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2026, 04, v.37 247-251+286
Epidemiological characteristics and spatiotemporal clustering analysis of foodborne diseases in Qinghai Province, 2021-2023
Email: xuebin@126.com;
DOI: 10.13515/j.cnki.hnjpm.1006-8414.2026.04.002
Abstract:

Objective To analyze the epidemiological characteristics and spatiotemporal clustering patterns of foodborne diseases in Qinghai Province from 2021 to 2023, providing a scientific basis for targeted foodborne disease prevention and control.Methods Surveillance data on foodborne disease cases in Qinghai Province from 2021 to 2023 were collected. Descriptive epidemiological analysis was performed. Spatial autocorrelation analysis and spatiotemporal scanning statistics were employed to identify spatiotemporal clustering. Results From 2021 to 2023, a total of 13 812 foodborne diseases cases were reported in Qinghai Province, with an average annual incidence of 7.75 cases per 10 000 person-years. Cases exhibited distinct seasonality,peaking annually from June to September. Haidong City(27.14%) and Xining City(22.88%) reported the highest case numbers.The most affected age group was 1-<10 years old(23.72%), with preschool children being the predominant occupational category(27.69%). The suspected exposure food was primarily meat and meat products(19.85%); and the the most common exposure setting was the household(79.57%). Among 4 267 samples tested, 314 were positive for pathogenic microorganisms(positivity rate7.36%). Salmonella was the most frequently detected pathogen(5.68%, 232/4 088), with the highest positive rate observed in September(9.97%, 35/351). Spatial autocorrelation analysis indicated regional aggregation in 2022(Moran's I = 0.269, P < 0.05)and 2023(Moran's I = 0.286, P < 0.05). Spatiotemporal scanning analysis identified Haidong City and Huangnan Tibetan Autonomous Prefecture as the primary clustered areas, with a high-risk period from April to September in Class Ⅰ clustered regions. Conclusions The epidemiological profile of foodborne diseases in Qinghai Province is characterized by preschool children as the high-risk population and summer/autumn as the high-incidence seasons. Public health authorities should enhance surveillance focusing on key populations and implement targeted prevention and control measures during high-peak seasons to effectively reduce the incidence of foodborne diseases.

References

[1]佚名.全国人民代表大会常务委员会关于修改《中华人民共和国食品安全法》的决定[J].中国食品安全,2025(8):68-69.

[2]李红秋,贾华云,赵帅,等.2021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,2022,34(4):816-821.

[3]李红秋,郭云昌,刘志涛,等.2022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,2024,36(8):962-967.

[4]范鹏辉,李红秋,褚遵华,等.2023年中国大陆食源性疾病暴发监测结果分析[J].中国食品卫生杂志,2024,36(10):1199-1208.

[5]韩宁,吕锡宏,李萌.2016—2023年上海市松江区手足口病季节特征和时空聚集性分析[J/OL].预防医学情报杂志,1-8[2025-07-08].https://doi.org/10.19971/j.cnki.1006-4028.240372.

[6]张慧娟,张恩民,贺金荣,等.2005—2024年中国炭疽流行特征分析[J].中国预防医学杂志,2025,26(8):945-952.

[7]郭学斌.2013-2015年青海省哨点医院食源性疾病病例监测结果分析[J].现代预防医学,2016,43(22):4192-4195.

[8]翟前前,张新刚,刘思洁.2016—2020年吉林省食源性疾病流行病学特征分析[J].现代预防医学,2022,49(6):1133-1136.

[9]杨彦玲,赵江,万青青,等.2016—2020年云南省食源性疾病病例监测结果分析[J].职业与健康,2022,38(17):2338-2343.

[10]张馨月,曾敬,李敏,等.2017-2019年武汉市监测食源性疾病流行特征[J].中华医院感染学杂志,2021,31(4):631-635.

[11]李世聪,严维娜,梁骏华,等.2011—2020年广东省微生物性食源性疾病暴发流行病学特征分析[J].中国食品卫生杂志,2024,36(9):1076-1082.

[12]赵志涛,张珊珊,张莹.2019年至2023年济源市7916例食源性疾病病例监测结果分析[J].临床研究,2024,32(7):5-8.

[13]杨白彬,郑志鹏,刘微,等.2022—2024年江西省赣州市食源性疾病流行特征[J].现代疾病预防控制,2025,36(10):785-788

[14]李世聪,梁骏华,卢玲玲,等.2020年广东省食源性疾病病例特征分析[J].中国食品卫生杂志,2023,35(4):624-629.

[15]杜怡凌,李平.2019—2022年南京市秦淮区食源性疾病流行病学分析[J].江苏卫生保健,2024,26(2):116-118.

[16]李雪原,史一,王尚敏,等.2010—2020年中国大陆生熟交叉污染导致食源性疾病暴发事件流行病学特征分析[J].中国食品卫生杂志,2022,34(5):1016-1021.

[17]刘泽,张娜娜,程杨,等.青海省医疗资源配置的空间公平与效率评价[J].地理科学进展,2023,42(10):1891-1903.

Basic Information:

DOI:10.13515/j.cnki.hnjpm.1006-8414.2026.04.002

China Classification Code:R155.3

Citation Information:

[1]LI Jiayu,GUO Xuebin.Epidemiological characteristics and spatiotemporal clustering analysis of foodborne diseases in Qinghai Province, 2021-2023[J].Modern Disease Control and Prevention,2026,37(04):247-251+286.DOI:10.13515/j.cnki.hnjpm.1006-8414.2026.04.002.

Fund Information:

青海省卫生计生项目(2018-wjzd-09)

Published:  

2026-03-25

Publication Date:  

2026-03-25

quote

GB/T 7714-2015
MLA
APA