[HTML][HTML] Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review

A Mavragani, G Ochoa, KP Tsagarakis - Journal of Medical Internet …, 2018 - jmir.org
Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

[HTML][HTML] The application of internet-based sources for public health surveillance (infoveillance): systematic review

JM Barros, J Duggan… - Journal of medical internet …, 2020 - jmir.org
Background Public health surveillance is based on the continuous and systematic collection,
analysis, and interpretation of data. This informs the development of early warning systems …

Google Trends as a tool for evaluating public interest in facial cosmetic procedures

JD Tijerina, SD Morrison, IT Nolan… - Aesthetic surgery …, 2019 - academic.oup.com
Abstract Background The utility of Google Trends (GT) in analyzing worldwide and regional
patient interest for plastic surgery procedures is becoming invaluable to plastic surgery …

The internet and the anti-vaccine movement: Tracking the 2017 EU measles outbreak

A Mavragani, G Ochoa - Big Data and Cognitive Computing, 2018 - mdpi.com
In the Internet Era of information overload, how does the individual filter and process
available knowledge? In addressing this question, this paper examines the behavioral …

Predicting public interest in nonsurgical cosmetic procedures using Google Trends

JD Tijerina, SD Morrison, IT Nolan… - Aesthetic Surgery …, 2020 - academic.oup.com
Abstract Background Google Trends (GT) provides cost-free, customizable analyses of
search traffic for specified terms entered into Google's search engine. GT may inform plastic …

[HTML][HTML] Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study

L Yang, T Zhang, X Han, J Yang, Y Sun, L Ma… - Journal of Medical …, 2023 - jmir.org
Background Influenza outbreaks pose a significant threat to global public health. Traditional
surveillance systems and simple algorithms often struggle to predict influenza outbreaks in …

Real-time monitoring of infectious disease outbreaks with a combination of Google Trends search results and the moving epidemic method: A respiratory syncytial …

D Wang, A Guerra, F Wittke, JC Lang, K Bakker… - Tropical Medicine and …, 2023 - mdpi.com
The COVID-19 pandemic has disrupted the seasonal patterns of several infectious diseases.
Understanding when and where an outbreak may occur is vital for public health planning …

Accounting for healthcare-seeking behaviours and testing practices in real-time influenza forecasts

R Moss, AE Zarebski, SJ Carlson… - Tropical Medicine and …, 2019 - mdpi.com
For diseases such as influenza, where the majority of infected persons experience mild (if
any) symptoms, surveillance systems are sensitive to changes in healthcare-seeking and …

Forecasting AIDS prevalence in the United States using online search traffic data

A Mavragani, G Ochoa - Journal of Big Data, 2018 - Springer
Over the past decade and with the increasing use of the Internet, the assessment of health
issues using online search traffic data has become an integral part of Health Informatics …

[HTML][HTML] Influence of climate on Google internet searches for pruritus across 16 German cities: retrospective analysis

L Tizek, M Schielein, M Rüth, S Ständer… - Journal of Medical …, 2019 - jmir.org
Background The burden of pruritus is high, especially among patients with dermatologic
diseases. Identifying trends in pruritus burden and people's medical needs is challenging …