ArticleJournal of medical Internet research2020
Mapping of Health Literacy and Social Panic Via Web Search Data During the COVID-19 Public Health Emergency: Infodemiological Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- The Work Environment during Coronavirus Epidemics and Pandemics: A Systematic Review of Studies Using Quantitative, Qualitative, and Mixed-Methods Designs.International journal of environmental research and public health · 2022Pooled it
- Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial.Journal of medical Internet research · 2021Trial
- An overview of PLOS curated collection in health literacy.PloS one · 2026Article
- Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study.Journal of medical Internet research · 2025Observational
- Integrating communication dimensions into health models: understanding COVID-19 vaccination through multigroup analysis.Frontiers in public health · 2025Article
- A Serious Game ("Fight With Virus") for Preventing COVID-19 Health Rumors: Development and Experimental Study.JMIR serious games · 2024Article
- Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study.JMIR formative research · 2023Article
- Article
- Increasing public concern on insomnia during the COVID-19 outbreak in China: An info-demiology study.Heliyon · 2022Article
- An online longitudinal study about search index reflexing public attention of vaccinate against COVID-19.Annals of translational medicine · 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
- Spatial evolution patterns of public panic on Chinese social networks amidst the COVID-19 pandemic.International journal of disaster risk reduction : IJDRR · 2022Article
- Associated factors of professional identity among nursing undergraduates during COVID-19: A cross-sectional study.International journal of nursing sciences · 2022Article
- Impact of COVID-19 response on public health literacy and communication.Health promotion perspectives · 2022Review
- The US COVID Atlas: A dynamic cyberinfrastructure surveillance system for interactive exploration of the pandemic.Transactions in GIS : TG · 2021Article
- Mental health, compliance with measures and health prospects during the COVID-19 epidemic: the role of health literacy.BMC public health · 2021Article
- A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealth.JMIR medical informatics · 2021Article
- COVID-19 and Health Information Seeking Behavior: Digital Health Literacy Survey amongst University Students in Pakistan.International journal of environmental research and public health · 2021Article
- Diet, Nutrition, Obesity, and Their Implications for COVID-19 Mortality: Development of a Marginalized Two-Part Model for Semicontinuous Data.JMIR public health and surveillance · 2021Article
- Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease (COVID-19) is a type of pneumonia caused by a novel coronavirus that was discovered in 2019. As of May 6, 2020, 84,407 cases and 4643 deaths have been confirmed in China. The Chinese population has expressed great concern since the COVID-19 outbreak. Meanwhile, an average of 1 billion people per day are using the Baidu search engine to find COVID-19-related health information.
objectiveThe aim of this paper is to analyze web search data volumes related to COVID-19 in China.
methodsWe conducted an infodemiological study to analyze web search data volumes related to COVID-19. Using Baidu Index data, we assessed the search frequencies of specific search terms in Baidu to describe the impact of COVID-19 on public health, psychology, behaviors, lifestyles, and social policies (from February 11, 2020, to March 17, 2020).
resultsThe search frequency related to COVID-19 has increased significantly since February 11th. Our heat maps demonstrate that citizens in Wuhan, Hubei Province, express more concern about COVID-19 than citizens from other cities since the outbreak first occurred in Wuhan. Wuhan citizens frequently searched for content related to "medical help," "protective materials," and "pandemic progress." Web searches for "return to work" and "go back to school" have increased eight-fold compared to the previous month. Searches for content related to "closed community and remote office" have continued to rise, and searches for "remote office demand" have risen by 663% from the previous quarter. Employees who have returned to work have mainly engaged in the following web searches: "return to work and prevention measures," "return to work guarantee policy," and "time to return to work." Provinces with large, educated populations (eg, Henan, Hebei, and Shandong) have been focusing on "online education" whereas medium-sized cities have been paying more attention to "online medical care."
conclusionsOur findings suggest that web search data may reflect changes in health literacy, social panic, and prevention and control policies in response to COVID-19.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.