Agent-based social simulations for health crises response: utilising the everyday digital health perspective.

There is increasing recognition of the role that artificial intelligence (AI) systems can play in managing health crises. One such approach, which allows for analysing the potential consequences of different policy interventions is agent-based social simulations (ABSS). Here, the actions and interactions of autonomous agents are modelled to generate virtual societies that can serve as a "testbed" for investigating and comparing different interventions and scenarios.

Correction to: Analysing the Combined Health, Social and Economic Impacts of the Corona Virus Pandemic Using Agent‑Based Social Simulation.

[This corrects the article DOI: 10.1007/s11023-020-09527-6.].

Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation.

During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g.

Stress-related cortisol response and laboratory eating behavior in obese women.

Stress-related cortisol secretion has been linked to increased appetite and subsequent food intake in overweight individuals. The present study addresses this relationship in a repeated-measures randomized controlled laboratory experiment. Nineteen obese women were compared to 36 normal weight controls with respect to stress-induced salivary cortisol and laboratory eating behavior, measured by a universal eating monitor.