ArticleBMC infectious diseases2021
Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: - evidence from Baidu index.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic.Journal of epidemiology and global health · 2024Pooled it
- Predicting the incidence of syphilis in China using Baidu search index and an ARIMAX model.BMC infectious diseases · 2026Article
- Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data.BMC public health · 2025Article
- Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model.BMC infectious diseases · 2024Article
- Article
- The predation relationship between online medical search and online medical consultation-empirical research based on Baidu platform data.Frontiers in public health · 2024Article
- Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis.Journal of medical Internet research · 2023Article
- Epidemiological research on rare diseases using large-scale online search queries and reported case data.Orphanet journal of rare diseases · 2023Article
- Psychological Impact of COVID-19 Lockdown and Its Evolution: A Case Study Based on Internet Searching Data during the Lockdown of Wuhan 2020 and Shanghai 2022.Healthcare (Basel, Switzerland) · 2023Article
- Dynamic mechanism of eliminating COVID-19 vaccine hesitancy through web search.Frontiers in public health · 2023Article
- Asthma prevalence based on the Baidu index and China's Health Statistical Yearbook from 2011 to 2020 in China.Frontiers in public health · 2023Article
- Revealing the spatiotemporal characteristics of the general public's panic levels during the pandemic crisis in China.Transactions in GIS : TG · 2022Article
- Using the Baidu index to understand Chinese interest in thyroid related diseases.Scientific reports · 2022Article
- Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data.Transport policy · 2022Article
- An online longitudinal study about search index reflexing public attention of vaccinate against COVID-19.Annals of translational medicine · 2022Article
- Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data.BMJ open · 2021Article
- Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic.Frontiers in public health · 2021Article
- Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19.Frontiers in public health · 2021Article
- Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China.PloS one · 2021Article
- Public attention to cardiac arrest in China: A Baidu Index analysis of online search trends and hotspot events.Digital healthArticle
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4 authors.
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Abstract
backgroundNew 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.
methodsWe 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 Hopkins University (JHU). The search index values of the most common symptoms of COVID-19 (e.g., fever, cough, fatigue) were retrieved from the Baidu Index. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptom and the number of confirmed cases. Regional distributions among 34 provinces/ regions in China were also analyzed.
resultsDaily growth of confirmed cases and Baidu index values for each COVID-19-related symptom presented robust positive correlations during the outbreak (fever: r
conclusionThe searches of COVID-19-related symptoms on the Baidu search engine were significantly correlated to the number of confirmed cases. Since the Baidu search engine could reflect the public's attention to the pandemic and the regional epidemics of viruses, relevant departments need to pay more attention to areas with high searches of COVID-19-related symptoms and take precautionary measures to prevent these potentially infected persons from further spreading.
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