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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.... show more
Citation Metrics
Citations
138
Influential Citations
8
Reference Count
61
Citation by Year

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

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