百度指数和微指数在中国流感监测中的比较分析

被引:23
作者
鲁力 [1 ]
邹远强 [1 ]
彭友松 [1 ]
李肯立 [1 ]
蒋太交 [1 ,2 ]
机构
[1] 湖南大学信息科学与工程学院
[2] 中国科学院生物物理研究所蛋白质与多肽药物所重点实验室
关键词
百度指数; 微指数; 流感监测;
D O I
暂无
中图分类号
R511.7 [流行性感冒]; O212.1 [一般数理统计];
学科分类号
摘要
对百度指数、微指数在中国流感监测中的作用进行了比较和分析。相关性分析表明,相对于微指数,基于百度指数的关键词搜索数据与实际的流感流行的相关性更强,与流感的流行区间和峰值时间更相似,而且基于它们建立的回归模型能更准确地预测流感的流行。进一步,整合历史的流感流行数据能大大提高该回归模型的效果。因此,百度指数平台可以作为传统流感监测手段的一种有效补充。
引用
收藏
页码:392 / 395
页数:4
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