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预防医学  2026, Vol. 38 Issue (2): 161-165    DOI: 10.19485/j.cnki.issn2096-5087.2026.02.011
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
基于贝叶斯时空模型的滨州市手足口病影响因素研究
徐欣颖1, 颜伟2, 石兴龙1, 吕婧1, 岳芳1, 乔颖异1, 刘冠翔3, 李秀君1
1.山东大学齐鲁医学院公共卫生学院,山东 济南 250012;
2.滨州市疾病预防控制中心,山东 滨州 256600;
3.山东大学齐鲁医学院基础医学院,山东 济南 250012
Influencing factors for hand, foot, and mouth disease in Binzhou City based on a Bayesian spatio-temporal model
XU Xinying1, YAN Wei2, SHI Xinglong1, LÜ Jing1, YUE Fang1, QIAO Yingyi1, LIU Guanxiang3, LI Xiujun1
1. School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China;
2. Binzhou Center for Disease Control and Prevention, Binzhou, Shandong 256600, China;
3. School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
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摘要 目的 了解山东省滨州市手足口病发病的流行特征和影响因素,为制定手足口病防控策略提供依据。方法 通过中国疾病预防控制信息系统传染病报告信息管理系统收集2017—2023年滨州市手足口病病例资料,通过第五代欧洲中期天气预报中心收集同期气象资料。计算手足口病报告发病率,描述性分析手足口病的时间分布、人群分布和地区分布特征;采用贝叶斯时空模型分析手足口病发病的影响因素。结果 2017—2023年滨州市报告手足口病17 314例,年均报告发病率为62.57/10万。发病高峰为6—9月,部分年份在10—11月出现次高峰。滨城区和阳信县年均报告发病率较高,分别为107.41/10万和72.95/10万。男性10 461例,女性6 853例,男女比为1.53∶1;年龄以1~3岁为主,11 713例占67.65%。贝叶斯时空模型分析结果显示,手足口病发病风险有明显季节性和地域性。2017—2019年和2021年每年的第24—27周和第44—47周达峰值,RR值为1.771~6.747,2022—2023年为单峰分布;滨城区、阳信县和惠民县RR值均>1。平均温度(RR=1.092,95%CI:1.080~1.105)、平均相对湿度(RR=1.015,95%CI:1.008~1.022)与手足口病发病风险呈正相关,平均风速(RR=0.749,95%CI:0.655~0.856)与手足口病发病风险呈负相关。结论 滨州市手足口病高发于夏季、中部地区,男性、1~3岁儿童是高风险人群。手足口病发病风险随平均温度和平均相对湿度升高而上升,随平均风速升高而下降。
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徐欣颖
颜伟
石兴龙
吕婧
岳芳
乔颖异
刘冠翔
李秀君
关键词 手足口病流行特征贝叶斯时空模型影响因素    
AbstractObjective To investigate the epidemiological characteristics and influencing factors for hand, foot, and mouth disease (HFMD) incidence in Binzhou City, Shandong Province, so as to provide the evidence for developing HFMD prevention and control strategies. Methods Data on HFMD cases in Binzhou City from 2017 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts. The incidence of HFMD was calculated, and the temporal, population, and regional distribution characteristics of HFMD were analyzed descriptively. Bayesian spatiotemporal model was used to analyze the influencing factors for HFMD incidence. Results From 2017 to 2023, a total of 17 314 HFMD cases were reported in Binzhou City, with an annual average reported incidence of 62.57/105. The incidence peak was from June to September, and a secondary peak appeared from October to November in some years. The annual average reported incidences were higher in Bincheng District and Yangxin County, which were 107.41/105 and 72.95/105, respectively. There were 10 461 males and 6 853 females, with a male-to-female ratio of 1.53∶1. The age was mainly 1-3 years, with 11 713 cases accounting for 67.65%. Bayesian spatiotemporal model analysis showed that the risk of HFMD incidence had obvious seasonality and regionality. From 2017 to 2019 and in 2021, the peaks occurred in weeks 24-27 and 44-47 each year, with RR values of 1.771-6.747. From 2022 to 2023, it showed a single peak distribution. The RR values were all >1 in Bincheng District, Yangxin County, and Huimin County. Average temperature (RR=1.092, 95%CI: 1.080-1.105) and average relative humidity (RR=1.015, 95%CI: 1.008-1.022) were positively correlated with the risk of HFMD incidence, while average wind speed (RR=0.749, 95%CI: 0.655-0.856) was negatively correlated with the risk of HFMD incidence. Conclusions HFMD in Binzhou City mainly occurs in summer and in central areas. Males and children aged 1-3 years are high-risk populations. The risk of HFMD incidence increases with the increase of average temperature and average relative humidity, and decreases with the increase of average wind speed.
Key wordshand, foot, and mouth disease    epidemiological characteristics    Bayesian spatio-temporal model    influencing factor
收稿日期: 2025-08-29      修回日期: 2026-01-14     
中图分类号:  R725.1  
  R181.3  
基金资助:国家重点研发计划项目(2023YFC2604400); 山东省公共卫生学会科研项目(SDPHA202403)
作者简介: 徐欣颖,硕士研究生在读,公共卫生专业
通信作者: 李秀君,E-mail:xjli@sdu.edu.cn   
引用本文:   
徐欣颖, 颜伟, 石兴龙, 吕婧, 岳芳, 乔颖异, 刘冠翔, 李秀君. 基于贝叶斯时空模型的滨州市手足口病影响因素研究[J]. 预防医学, 2026, 38(2): 161-165.
XU Xinying, YAN Wei, SHI Xinglong, LÜ Jing, YUE Fang, QIAO Yingyi, LIU Guanxiang, LI Xiujun. Influencing factors for hand, foot, and mouth disease in Binzhou City based on a Bayesian spatio-temporal model. Preventive Medicine, 2026, 38(2): 161-165.
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https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2026.02.011      或      https://www.zjyfyxzz.com/CN/Y2026/V38/I2/161
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