Baidu Index and COVID-19 Epidemic Forecast: Evidence From China

被引:32
|
作者
Fang, Jianchun [1 ]
Zhang, Xinyi [2 ]
Tong, Yang [1 ]
Xia, Yuxin [1 ]
Liu, Hui [3 ]
Wu, Keke [4 ]
机构
[1] Zhejiang Univ Technol, Sch Econ, Hangzhou, Peoples R China
[2] Capital Univ Econ & Business, Sch Accounting, Beijing, Peoples R China
[3] Zhejiang Sci Tech Univ, Sch Econ & Management, Hangzhou, Peoples R China
[4] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China
关键词
Baidu index; coronavirus epidemic; N95; masks; Wuhan epidemic; forecast;
D O I
10.3389/fpubh.2021.685141
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
With the global spread of the Coronavirus epidemic, search engine data can be a practical tool for decision-makers to understand the epidemic's trends. This article uses trend analysis data from the Baidu search engine, the most widely used in China, to analyze the public's attention to the epidemic and the demand for N95 masks and other anti-epidemic materials and information. This kind of analysis has become an important part of information epidemiology. We have analyzed the use of the keywords "Coronavirus epidemic," "N95 mask," and "Wuhan epidemic" to judge whether the introduction of real-time search data has improved the efficiency of the Coronavirus epidemic prediction model. In general, the introduction of the Baidu index, whether in-sample or out-of-sample, significantly improves the prediction efficiency of the model.
引用
收藏
页数:6
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