ArticleScientific reports2017
Google Trends can improve surveillance of Type 2 diabetes.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis.Nutrients · 2023Pooled it
- The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review.Journal of medical Internet research · 2020Pooled it
- Public interest in drug-related problems reflected in information search trends: an infodemiological study.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Article
- Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.JMIR public health and surveillance · 2023Article
- Article
- Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study.Tropical medicine and infectious disease · 2023Article
- Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence.PeerJ. Computer science · 2023Article
- Article
- Poor Medication Adherence in African Americans Is a Matter of Trust.Journal of racial and ethnic health disparities · 2021Review
- Evolution of Nutritional Habits Behaviour of Spanish Population Confined Through Social Media.Frontiers in nutrition · 2021Article
- Will I die of coronavirus? Google Trends data reveal that politics determine virus fears.PloS one · 2021Article
- Environmental risk factor assessment for major respiratory disorders in metropolitan cities of India using VIIRS Suomi Aerosol data and Google Trends.Environmental sustainability (Singapore) · 2021Article
- Forecasting tuberculosis using diabetes-related google trends data.Pathogens and global health · 2020Article
- Google trend analysis of climatic zone based Indian severe seasonal sensitive population.BMC public health · 2020Article
- Access to Primary Care and Internet Searches for Walk-In Clinics and Emergency Departments in Canada: Observational Study Using Google Trends and Population Health Survey Data.JMIR public health and surveillance · 2019Article
- Emerging Approaches in Surveillance of Type 1 Diabetes.Current diabetes reports · 2018Review
- From Diabetes Care to Diabetes Cure-The Integration of Systems Biology, eHealth, and Behavioral Change.Frontiers in endocrinology · 2017Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies demonstrate that people are increasingly looking online to assess their health, with reasons varying from personal preferences and beliefs to inability to book a timely appointment with their local medical practice. Records of these activities represent a new source of data about the health of populations, but which is currently unaccounted for by disease surveillance models. This could potentially be useful as evidence of individuals' perception of bodily changes and self-diagnosis of early symptoms of an emerging disease. We make use of the Experian geodemographic Mosaic dataset in order to extract Type 2 diabetes candidate risk variables and compare their temporal relationships with the search keywords, used to describe early symptoms of the disease on Google. Our results demonstrate that Google Trends can detect early signs of diabetes by monitoring combinations of keywords, associated with searches for hypertension treatment and poor living conditions; Combined search semantics, related to obesity, how to quit smoking and improve living conditions (deprivation) can be also employed, however, may lead to less accurate results.
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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.