ArticleJMIR public health and surveillance2020
Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index.
Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Early warning of hepatitis B epidemics in Henan Province, China, from 2014 to 2023 based on Baidu Index and Bayesian Structural Time Series model.Archives of public health = Archives belges de sante publique · 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
- Analyzing Online Search Trends for Kidney, Prostate, and Bladder Cancers in China: Infodemiology Study Using Baidu Search Data (2011-2023).JMIR cancer · 2025Article
- Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model.BMC infectious diseases · 2024Article
- Mapping the Characteristics of Respiratory Infectious Disease Epidemics in China Based on the Baidu Index from November 2022 to January 2023.China CDC weekly · 2024Article
- Temporal and Spatial Analysis of Negative Emotions in China during the COVID-19 Pandemic.Behavioral sciences (Basel, Switzerland) · 2024Article
- Article
- Spatiotemporal heterogeneity of the association between socioeconomic development and health policy attention: a geographically and temporally weighted regression modeling study in China.Frontiers in public health · 2024Article
- The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China.BMJ global health · 2023Article
- Excess All-Cause Mortality in China After Ending the Zero COVID Policy.JAMA network open · 2023Article
- Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study.Journal of medical Internet research · 2023Article
- The Effects of Online Health Information-Seeking Behavior on Sexually Transmitted Disease in China: Infodemiology Study of the Internet Search Queries.Journal of medical Internet research · 2023Article
- Using the Baidu index to predict trends in the incidence of tuberculosis in Jiangsu Province, China.Frontiers in public health · 2023Article
- Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study.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
- Characteristics of Collective Resilience and Its Influencing Factors from the Perspective of Psychological Emotion: A Case Study of COVID-19 in China.International journal of environmental research and public health · 2022Article
- An online longitudinal study about search index reflexing public attention of vaccinate against COVID-19.Annals of translational medicine · 2022Article
- Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index.Scientific reports · 2022Article
- Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities.International journal of disaster risk reduction : IJDRR · 2022Article
- Study on the mechanism of public attention to a major event: The outbreak of COVID-19 in China.Sustainable cities and society · 2022Article
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4 authors.
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Abstract
backgroundThe COVID-19 pandemic has become a global public health event, attracting worldwide attention. As a tool to monitor public awareness, internet search engines have been widely used in public health emergencies.
objectiveThis study aims to use online search data (Baidu Index) to monitor the public's attention and verify internet search engines' function in public attention monitoring of public health emergencies.
methodsWe collected the Baidu Index and the case monitoring data from January 20, 2020, to April 20, 2020. We combined the Baidu Index of keywords related to COVID-19 to describe the public attention's temporal trend and spatial distribution, and conducted the time lag cross-correlation analysis.
resultsThe Baidu Index temporal trend indicated that the changes of the Baidu Index had a clear correspondence with the development time node of the pandemic. The Baidu Index spatial distribution showed that in the regions of central and eastern China, with denser populations, larger internet user bases, and higher economic development levels, the public was more concerned about COVID-19. In addition, the Baidu Index was significantly correlated with six case indicators of new confirmed cases, new death cases, new cured discharge cases, cumulative confirmed cases, cumulative death cases, and cumulative cured discharge cases. Moreover, the Baidu Index was 0-4 days earlier than new confirmed and new death cases, and about 20 days earlier than new cured and discharged cases while 3-5 days later than the change of cumulative cases.
conclusionsThe national public's demand for epidemic information is urgent regardless of whether it is located in the hardest hit area. The public was more sensitive to the daily new case data that represents the progress of the epidemic, but the public's attention to the epidemic situation in other areas may lag behind. We could set the Baidu Index as the sentinel and the database in the online infoveillance system for infectious disease and public health emergencies. According to the monitoring data, the government needs to prevent and control the possible outbreak in advance and communicate the risks to the public so as to ensure the physical and psychological health of the public in the epidemic.
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