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

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          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.

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          Most cited references18

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          COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach

          In this paper, we analyze the connectedness between the recent spread of COVID-19, oil price volatility shock, the stock market, geopolitical risk and economic policy uncertainty in the US within a time-frequency framework. The coherence wavelet method and the wavelet-based Granger causality tests applied to US recent daily data unveil the unprecedented impact of COVID-19 and oil price shocks on the geopolitical risk levels, economic policy uncertainty and stock market volatility over the low frequency bands. The effect of the COVID-19 on the geopolitical risk substantially higher than on the US economic uncertainty. The COVID-19 risk is perceived differently over the short and the long-run and may be firstly viewed as an economic crisis. Our study offers several urgent prominent implications and endorsements for policymakers and asset managers.
            • Record: found
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            • Article: not found

            The Unprecedented Stock Market Reaction to COVID-19

            Abstract No previous infectious disease outbreak, including the Spanish Flu, has affected the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with respect to large daily stock market moves back to 1900 and with respect to overall stock market volatility back to 1985. We also evaluate potential explanations for the unprecedented stock market reaction to the COVID-19 pandemic. The evidence we amass suggests that government restrictions on commercial activity and voluntary social distancing, operating with powerful effects in a service-oriented economy, are the main reasons the U.S. stock market reacted so much more forcefully to COVID-19 than to previous pandemics in 1918–1919, 1957–1958, and 1968.
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              Stock markets’ reaction to COVID-19: cases or fatalities?

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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                05 May 2021
                2021
                05 May 2021
                : 9
                : 685141
                Affiliations
                [1] 1School of Economics, Zhejiang University of Technology , Hangzhou, China
                [2] 2School of Accounting, Capital University of Economics and Business , Beijing, China
                [3] 3School of Economics and Management, Zhejiang Sci-Tech University , Hangzhou, China
                [4] 4School of Economics and Management, Southwest Jiaotong University , Chengdu, China
                Author notes

                Edited by: Giray Gozgor, Istanbul Medeniyet University, Turkey

                Reviewed by: Yu Guan, Renmin University of China, China; Ren Zhang, Texas State University, United States

                *Correspondence: Xinyi Zhang xinyi_cheung@ 123456126.com

                This article was submitted to Health Economics, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2021.685141
                8131679
                34026721
                ab0a332c-d6ab-477a-b7d2-366f2bb4dab1
                Copyright © 2021 Fang, Zhang, Tong, Xia, Liu and Wu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 March 2021
                : 07 April 2021
                Page count
                Figures: 1, Tables: 3, Equations: 2, References: 18, Pages: 6, Words: 4171
                Categories
                Public Health
                Brief Research Report

                baidu index,coronavirus epidemic,n95 masks,wuhan epidemic,forecast

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