COVID-19 Cases, Media Attention and Social Mood

Abstract views: 420 / PDF downloads: 429



The study uses rolling regressions, both at global and country level, to analyze the impact of daily Covid-19 case numbers on four (Panic, Sentiment, Media coverage, and Fake news) indices. The indices are obtained from the Ravenpack Finance, while the daily Covid-19 cases and the policy response stringency index data is extracted from the Oxford COVID-19 Government Response Tracker. The results indicate that the impact of the number of daily Covid-19 cases on the indices is quite variable over time. Higher impact on the indices is reflected in periods where there is a significant surge in cases, in particular the initial surge in Spring, Summer and Fall. There is some evidence of diminished (increased) sensitivity of panic and media indices (fake news) to number of cases but this is not consistent across all countries. These results indicate that the public are concerned and respond to changes in the trends of the spread of the virus and highlight the importance of managing trends if halting its spread is not immediately feasible.Keywords: COVID-19, Ravenpack Indices, Media Attention, Stringency IndexJEL Classifications: G40, G41DOI:


Download data is not yet available.

Author Biographies

Steven Buigut, Canadian University Dubai

ProfessorCanadian University DubaiEconomics Department

Burcu Kapar, American University in Dubai

Associate ProfessorFinance Department




How to Cite

Buigut, S., & Kapar, B. (2021). COVID-19 Cases, Media Attention and Social Mood. International Journal of Economics and Financial Issues, 11(4), 66–72. Retrieved from