In this article, we argue for application of the Human Factors Analysis and Classification System (HFACS) to proactive incidence prevention in the public health system response to COVID-19. HFACS is a framework of causal categories of human errors typically applied for systematic retrospective...

Because the use of p-values in statistical inference often involves the rejection of a hypothesis on the basis of a number that itself assumes the hypothesis to be true, many in the scientific community argue that inference should instead be based on the hypothesis' actual probability...

A pandemic is not only a biological event and a public health disaster, but it also generates impacts that are worth understanding from a societal, historical, and cultural perspective.In this contribution, we argue that as the disease spreads, we are able to harness a valuable key resource,...

In this contribution, we highlight the potential for quantum theories to reignite the art and science of expert systems and knowledge engineering. With their fundamental grounding in uncertainty and unpredictability, quantum concepts are able to expand theoretical and practical boundaries of...

Because no-show behavior typically leads to operational inefficiencies and thus diminishing returns for service firms, a growing number of authors have demonstrated the potential of using reminders to reduce no-show rates. In this study, by examining the behavioral responses of 13,911 season...

Governments have taken remarkable measures during the SARS-CoV-2 pandemic in their efforts to safeguard citizens' health and the economy. As a consequence, public debts have reached unprecedented levels, which will require at some point higher taxes. Ensuring that citizens pay these taxes...