基于大数据平台的居民肺支原体感染监测状况分析
Analysis of monitoring of Mycoplasma pneumoniae infection in residents based on big data platforms
路杰 1闫宣辰 1胡晓斌 2刘红亮 1蒲旭虹1
作者信息
- 1. 甘肃省卫生健康统计信息中心,甘肃兰州 730030
- 2. 兰州大学公共卫生学院
- 折叠
摘要
目的 挖掘大数据平台的数据资源,为有针对性地构建区域性的疾病监测和预警体系奠定基础.方法 根据空间自相关分析的结果,识别出热点和冷点就诊区域,绘制居民肺支原体感染就诊人次数的空间热力图;组间比较采用x2检验或Fisher精确检验.结果 甘肃省居民肺支原体感染的就诊人次数随时间推移波动明显.就诊人次数在不同城市间(x2=1 635.627)、不同年龄组间(x2=42.997)比较,差异有统计学意义(P＜0.001).局部地区的区域聚集性,有一定的病因提示意义;主要的感染人群为0～10岁儿童.女性就诊人次数明显高于男性(x2=20.159,P＜0.001).结论 2023年入秋后甘肃省居民肺支原体感染人数剧增,个别城市出现地区聚集性趋势.本次流行季节性不明显,夏季也出现就诊高峰;女性比男性易感;就诊患者的平均年龄下降.应充分挖掘大数据平台的优势,发挥其在疾病监测预警方面的潜力.
Abstract
Objective Digging data resources from big data platforms to lay the foundation for targeted construction of regional disease monitoring and early warning systems.Method Based on the results of spatial autocorrelation analysis,identify hot and cold spot medical areas,and draw a spatial heatmap of the number of visits to residents with Mycoplasma pneumoniae infection;intergroup comparisons were conducted using chi square test or Fisher's exact test.Results The number of visits for Mycoplasma pneumoniae infection among residents in Gansu Province fluctuated significantly over time.The number of visits to different cities(x2=1 635.627)and age groups(x2=42.997)showed statistically significant differences(P＜0.001).The regional clustering of local areas had certain etiological implications;the main infected population was children aged 0-10.The number of visits by women was significantly higher than that of men(x2=20.159,P＜0.001).Conclusion After the autumn of 2023,the number of residents infected with Mycoplasma pneumoniae in Gansu Province has increased sharply,and some cities have shown a trend of regional clustering.The seasonality of this epidemic is not obvious,and there is also a peak in medical visits during the summer.Women are more susceptible than men.The average age of patients seeking medical treatment has decreased.It is necessary to fully tap into the advantages of big data platforms and unleash their potential in disease monitoring and early warning.
关键词
大数据平台/肺支原体感染/疾病监测Key words
big data platforms/Mycoplasma pneumoniae infection/disease monitoring引用本文复制引用
基金项目
甘肃省卫生健康行业科研项目(GSWSKY2023-17)
甘肃省"陇原青年英才"计划(第二批)(2023)()
甘肃省卫生健康行业科研项目(GSWSKY2023-25)
出版年
2024
NETL
NSTL
万方数据