Forecasting Database Usage During the Height of COVID-19
Title
Forecasting Database Usage During the Height of COVID-19
Description
As with other catastrophic events, the COVID-19 pandemic disrupted higher education and library services. The authors examine the effect of the COVID-19 pandemic on usage of health databases in 2020. They use time series analysis to create a forecast based on previous years’ activities, and then compare it with actual database usage during the pandemic. The results show an initial increase in searches for the first full month of the pandemic, but then match the expected forecast data and decrease during summer and early fall months. The authors conclude that time series analysis is a useful tool for understanding the impact of events and for planning purposes.
Creator
Sharpe, Chris
Evans, David
Publisher
International Journal of Librarianship
Date
2022-07-18
Format
application/pdf
Language
eng
Type
Text
Journal Article
Date Issued
2022-07-18
Is Part Of
International Journal of Librarianship
Extent
7(1), 21–29
Position: 964 (181 views)
Files
Citation
Sharpe, Chris
and Evans, David
, “Forecasting Database Usage During the Height of COVID-19,” CALASYS - CALA Academic Resources & Repository System, accessed April 18, 2026, https://ir.cala-web.org/items/show/1345.