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An Epidemic Avian Influenza Prediction Model Based on Google Trends

机译:基于Google趋势的流行病禽流感预测模型

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摘要

The occurrence of epidemic avian influenza (EM) not only hinders the development of a country's agricultural economy, but also seriously affects human beings' life. Recently, the information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using the relevant keywords in Google Trends as well as the multiple linear regression approach, a model was developed to predict the occurrence of epidemic avian influenza. It was demonstrated by rigorous cross-validations that the success rates achieved by the new model were quite high, indicating the predictor will become a very useful tool for hospitals and health providers.
机译:流行病禽流感(EM)的发生不仅阻碍了一个国家农业经济的发展,而且严重影响人类的生命。 最近,从Google趋势所收集的信息越来越多地用于预测各种流行病。 在本研究中,使用Google趋势中的相关关键字以及多元线性回归方法,开发了一种模型,以预测流行性禽流感的发生。 通过严格的交叉验证证明,新模式实现的成功率相当高,表明预测因素将成为医院和健康提供者的一个非常有用的工具。

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