Spurious learning and bouncing back: Resilience and simulation modelling applied to the COVID-19 pandemic

Abstract

This paper aims to provide a window opportunity to share a reflection and learning from different countries and from other disciplines with the focus on resilience. There is also an attempt to theorize the concept of learning from spurious success and failure in the context of COVID-19. The main emphasis is to provide understanding of the causal factors and the identification of improved measures and modelling approaches to prevent and mitigate against future pandemics. Proposed decision tools of resilience and bowtie modelling as enablers for decision makers to prevent hazards and protect against their consequences.