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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Information management in the early stages of the COVID- 19 pandemic

Stone, Merlin, Sanders, Karen B., Aravopoulou, Eleni, Biron, Davide, Brodsky, Sergio, Kosack, Emmanuel, Dhaen, Esra Saleh Al, Mahmoud, Mohammed and Usacheva, Anastasia (2020) Information management in the early stages of the COVID- 19 pandemic. The Bottom Line. ISSN 0888-045X

Item Type: Article


This paper reviews the information management aspects of the early months of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Coronavirus 19 outbreak. It shows that the transition from epidemic to pandemic was caused partly by poor management of information that was publicly available in January 2020. The approach combines public domain epidemic data with economic, demographic, health, social and political data and investigates how information was managed by governments. It includes case studies of early-stage information management, from countries with high and low COVID-19 impacts (as measured by deaths per million). The reasons why the information was not acted upon appropriately include ?dark side? information behaviours Stone et al. (2019). Many errors and misjudgements could have been avoided by using learnings from previous epidemics, particularly the 1918-19 flu epidemic, when international travel (mainly of troops in World War 1) was a prime mode of spreading. It concludes that if similar outbreaks are not to turn into pandemics, much earlier action is needed, mainly closing borders and locking-down. The research is based on what was known at the time of writing, when the pandemic?s exact origin was uncertain, when some statistics about actions and results were unavailable and when final results were unknown. Governments faced with early warning signs or pandemics must act much faster. This is one of the first analyses of information management practices relating to the pandemic?s early stages.

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Uncontrolled Keywords: COVID 19, Information management, Weak signals, Flight closure, Border closure, Mortality
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Depositing User: Leah Maughan


Item ID: 13900
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ISSN: 0888-045X
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Date Deposited: 17 Sep 2021 10:59
Last Modified: 17 Sep 2021 10:59


Author: Merlin Stone
Author: Karen B. Sanders
Author: Eleni Aravopoulou
Author: Davide Biron
Author: Sergio Brodsky
Author: Emmanuel Kosack
Author: Esra Saleh Al Dhaen
Author: Mohammed Mahmoud
Author: Anastasia Usacheva

University Divisions

Faculty of Business, Law and Tourism > Sunderland Business School

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