ArticleWorld journal of otorhinolaryngology - head and neck surgery2020
Using the internet search data to investigate symptom characteristics of COVID-19: A big data study.
Article in World journal of otorhinolaryngology - head and neck surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 35 citations in OpenAlex.
- Discussion of the public interest in arthroscopy based on the Baidu index and its implications for nursing care.World journal of orthopedics · 2025Article
- Public concerns analysis and early warning of Mpox based on network data platforms-taking Baidu and WeChat as example.Frontiers in public health · 2025Article
- Revealing the spatiotemporal characteristics of the general public's panic levels during the pandemic crisis in China.Transactions in GIS : TG · 2022Article
- Construction and validation of a COVID-19 pandemic trend forecast model based on Google Trends data for smell and taste loss.Frontiers in public health · 2022Article
- Article
- Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations.Journal of medical Internet research · 2020Article
- Impact of the Inflow Population From Outbreak Areas on the COVID-19 Epidemic in Yunnan Province and the Recommended Control Measures: A Preliminary Study.Frontiers in public health · 2020Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAnalyzing the symptom characteristics of Coronavirus Disease 2019(COVID-19) to improve control and prevention.
methodsUsing the Baidu Index Platform (http://index.baidu.com) and the website of Chinese Center for Disease Control and Prevention as data resources to obtain the search volume (SV) of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020 and the epidemic data in Hubei province and the other top 9 impacted provinces in China. Data of 2020 were compared with those of the previous three years. Data of Hubei province were compared with those of the other 9 provinces. The differences and characteristics of the SV of COVID-19-related symptoms, and the correlations between the SV of COVID-19 and the number of newly confirmed/suspected cases were analyzed. The lag effects were discussed.
resultsComparing the SV from January 1, 2020 to February 20, 2020 with those for the same period of the previous three years, Hubei's SV for cough, fever, diarrhea, chest tightness, dyspnea, and other symptoms were significantly increased. The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms (
conclusionThe total SV of lower respiratory symptoms was higher than that of upper respiratory symptoms, and the SV of diarrhea also increased significantly. It warned us to pay attention to not only the symptoms of the lower respiratory tract but also the gastrointestinal symptoms, especially diarrhea in patients with COVID-19. Internet search behavior had a positive correlation with the number of newly confirmed/suspected cases, suggesting that big data has an important role in the early warning of infectious diseases.
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