Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning.

ABSTRACT: Modern societies are exposed to a myriad of risks ranging from disease to natural hazards and technological disruptions. Exploring how the awareness of risk spreads and how it triggers a diffusion of coping strategies is prominent in the research agenda of various domains. It requires a deep understanding of how individuals perceive risks and communicate about the effectiveness of protective measures, highlighting learning and social interaction as the core mechanisms driving such processes. Methodological approaches that range from purely physics-based diffusion models to data-driven environmental methods rely on agent-based modeling to accommodate context-dependent learning and social interactions in a diffusion process. Mixing agent-based modeling with data-driven machine learning has b

SUBMITTER: Abdulkareem SA 

PROVIDER: S-EPMC6944362 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature