logo
ResearchBunny Logo
COVID-19 predictability in the United States using Google Trends time series

Medicine and Health

COVID-19 predictability in the United States using Google Trends time series

A. Mavragani and K. Gkillas

This paper explores how Google Trends data can predict COVID-19 cases and deaths in the United States, highlighting its significant implications for public health policy. The research was conducted by Amaryllis Mavragani and Konstantinos Gkillas.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny