摘 要随着信息技术的不断发展,通过网络搜索数据的研究已经成为了大数据分析下的热点问题,在流行性疾病领域方面的研究应用更为深入普遍。人与人、人与物、物与物已经相互交织,同时网络数据有能够给人们的生活带来极大的便利、提供大量的有用信息,人类的日常生活已经离不开无处不在的互联网了。流行性疾病的传播速度快、范围广、发病率高,给医院和病人带来极大的挑战,为了缓解流行病爆发给医院带来的诊治压力,以及帮助人们更好的了解和预防流行病,掌握传播途径、发病规律。本文主要探索百度搜索指数在流行病中的实际应用,探索百度指数与流行性疾病之间的关系。本论文对网络搜索数据的相关技术进行了研究,用与流行病相关关键词,借助百度指数从中获取与流行病相关的搜索量随着时间变化的趋势数据,对数据进行回归分析,建立相关数学模型并且分析。发现了流行病的发病时间存在季节性的周期规律,并且百度指数数据与流行病之间存在明显相关性。因此对人们可以利用网络搜索数据预测未来流行病的发展趋势以及就诊量提供一定的帮助。关键词:流行病;百度指数;医疗数据;网络搜索数据PAGE \* MERGEFORMAT2AbstractWith the continuous development of information technology, the research of searching data through the Internet has become a hot issue under the analysis of big data, and the research and application in the field of epidemic diseases are more in-depth and common. People and people, people and things, things and things are already intertwined, and at the same time, network data can bring great convenience to people's lives and provide a lot of useful information. Too. The rapid spread, wide range and high incidence of epidemic diseases pose great challenges to hospitals and patients. In order to alleviate the pressure of diagnosis and treatment on hospitals caused by epidemic outbreaks and help people better understand and prevent epidemics, Master the transmission route and the law of incidence.This article mainly explores the practical application of Baidu search index in epidemics, and explores...