AUTHOR=Fang Jianchun , Zhang Xinyi , Tong Yang , Xia Yuxin , Liu Hui , Wu Keke TITLE=Baidu Index and COVID-19 Epidemic Forecast: Evidence From China JOURNAL=Frontiers in Public Health VOLUME=9 YEAR=2021 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.685141 DOI=10.3389/fpubh.2021.685141 ISSN=2296-2565 ABSTRACT=

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.