2021
DOI: 10.1186/s12879-020-05740-x
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Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: – evidence from Baidu index

Abstract: Background New coronavirus disease 2019 (COVID-19) has posed a severe threat to human life and caused a global pandemic. The current research aimed to explore whether the search-engine query patterns could serve as a potential tool for monitoring the outbreak of COVID-19. Methods We collected the number of COVID-19 confirmed cases between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopki… Show more

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Cited by 24 publications
(27 citation statements)
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“…As representatives of current Chinese search engines and social networking platforms, their internet data are more valuable for monitoring China's first national public crisis since it entered the mobile social media era. Since COVID-19, researchers have used media reports (25), Google Trends (26), Weibo post counts, Baidu searches (27,28), and Ali indices (29,30) to study public attention and risk communication for COVID-19 epidemic management. But there has been no study of the Chinese public's response to COVID-19 using data such as BDI and SMI from the perspective of supply and demand.…”
Section: Introductionmentioning
confidence: 99%
“…As representatives of current Chinese search engines and social networking platforms, their internet data are more valuable for monitoring China's first national public crisis since it entered the mobile social media era. Since COVID-19, researchers have used media reports (25), Google Trends (26), Weibo post counts, Baidu searches (27,28), and Ali indices (29,30) to study public attention and risk communication for COVID-19 epidemic management. But there has been no study of the Chinese public's response to COVID-19 using data such as BDI and SMI from the perspective of supply and demand.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, the novel coronavirus was used as the keyword, and the time span was from January 9, 2020 (when the pathogen was preliminarily determined to be COVID-19), to April 14, 2020 (when the ICU ward of Wuhan Jinyintan Hospital announced that they had ’zero COVID-19 patients’; a monumental victory in the control of COVID-19) [ 35 , 36 ]. Based on the Baidu index, the spatial and temporal differences of and factors that influence the novel coronavirus attention network were analysed, and the spreading trend and severity of the epidemic in various provinces in China were determined to scientifically and accurately assess the form of the national epidemic and provide a basis for promoting the precise prevention and control of the epidemic.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the huge medical expenditure imposed on China by TDs ( 14), due to China's vast territory and large population, it is di cult to evaluate the true prevalence rate of TDs and to understand the characteristics and needs of TDs patients. With the wide application of the internet and the increasing reliance of the public on search engines as the main way to query health information, some online digital diseases surveillance tools has been explored in recent years (15)(16)(17). As a query tool, search engine can provide sensitive information on the disease before the diagnosis of the disease is reported, thus improving disease control.…”
Section: Discussionmentioning
confidence: 99%