ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
117 citing papers in PubMed, 1 synthesis or guideline pooled it, 303 citations in OpenAlex.
- Association between public attention and monkeypox epidemic: A global lag-correlation analysis.Journal of medical virology · 2023Pooled it
- Learning from pandemics: Feature selection and clustering for robust digital disease nowcasting.PloS one · 2026Article
- Evaluating Google Trends as a proxy for symptom incidence: insights from the winter COVID-19 infection study in England 2023/24.Epidemiology and infection · 2025Article
- Search traffic for inflatable penile prosthesis increased following the COVID-19 pandemic in the United States: a Google Trends analysis.International journal of impotence research · 2025Article
- Public interest in online searching of asthma information: insights from a Google trends analysis.BMC pulmonary medicine · 2025Article
- Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression.Frontiers in big data · 2025Article
- Deep recurrent models for forecasting infectious diseases.Frontiers in public health · 2025Article
- Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.Journal of medical Internet research · 2024Article
- Google Trends Assessment of Keywords Related to Smoking and Smoking Cessation During the COVID-19 Pandemic in 4 European Countries: Retrospective Analysis.Online journal of public health informatics · 2024Article
- Review
- Internet use and difficulties in acquiring health resources among older adults with disabilities during the COVID-19 pandemic: a population-based cross-sectional study.BMC public health · 2024Article
- Incorporating connectivity among Internet search data for enhanced influenza-like illness tracking.PloS one · 2024Article
- Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study.JMIR infodemiology · 2023Article
- The evolution of the COVID-19 pandemic through the lens of google searches.Scientific reports · 2023Article
- Maximum generable interest: A universal standard for Google Trends search queries.Healthcare analytics (New York, N.Y.) · 2023Article
- The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19.Scientific reports · 2023Article
- Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.JMIR public health and surveillance · 2023Article
- Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis.JMIR cancer · 2023Article
- Article
- Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda.Interactive journal of medical research · 2023Article
57 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe.
methodsWe performed a Google Trends
resultsWorldwide public interest in Coronavirus reached its first peak end of January when numbers of newly infected patients started to increase exponentially in China. The worldwide Google Trends
conclusionsPublic interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic. Public interest is on average highest 11.5 days before the peak of newly infected cases.
Indexed as
Identifiers
What OpenQuestion holds
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.