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Baidu Index and COVID-19 Epidemic Forecast: Evidence From China
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 th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131679/ https://www.ncbi.nlm.nih.gov/pubmed/34026721 http://dx.doi.org/10.3389/fpubh.2021.685141 |
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author | Fang, Jianchun Zhang, Xinyi Tong, Yang Xia, Yuxin Liu, Hui Wu, Keke |
author_facet | Fang, Jianchun Zhang, Xinyi Tong, Yang Xia, Yuxin Liu, Hui Wu, Keke |
author_sort | Fang, Jianchun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8131679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81316792021-05-20 Baidu Index and COVID-19 Epidemic Forecast: Evidence From China Fang, Jianchun Zhang, Xinyi Tong, Yang Xia, Yuxin Liu, Hui Wu, Keke Front Public Health Public Health 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. Frontiers Media S.A. 2021-05-05 /pmc/articles/PMC8131679/ /pubmed/34026721 http://dx.doi.org/10.3389/fpubh.2021.685141 Text en Copyright © 2021 Fang, Zhang, Tong, Xia, Liu and Wu. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Public Health Fang, Jianchun Zhang, Xinyi Tong, Yang Xia, Yuxin Liu, Hui Wu, Keke Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title | Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title_full | Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title_fullStr | Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title_full_unstemmed | Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title_short | Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |
title_sort | baidu index and covid-19 epidemic forecast: evidence from china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131679/ https://www.ncbi.nlm.nih.gov/pubmed/34026721 http://dx.doi.org/10.3389/fpubh.2021.685141 |
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