Maximum generable interest: A universal standard for Google Trends search queries

• Published in: Healthcare analytics (New York, N.Y.) Vol. 3; p. 100158
• Main Authors: Springer, Steffen, Strzelecki, Artur, Zieger, Michael
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2023; The Author(s). Published by Elsevier Inc; Elsevier
• Subjects: Google Trends; Infodemiology; Infoveillance; Maximum generable interest; Search engine data; Universal reference; Google Trends; Universal reference; Search engine data; Maximum generable interest; Infodemiology; Infoveillance

The coronavirus or COVID-19 pandemic represents a health event with far-reaching global consequences, triggering a strong search interest in related topics on the Internet worldwide. The use of search engine data has become commonplace in research, but a universal standard for comparing different wo...