Agent-based models (ABMs) are important tools for predicting infectious disease epidemics
and for designing effective interventions. ABMs take into account individual differences, for …

Agent-based Models (ABM) are gaining importance over traditional epidemiological
modeling due to advances in computing technology and by the need for detailed …

Modeling of infectious diseases with a low number of infections is a task that often arises
since most real epidemics affect only a small fraction of the population. Agent-based …

Background Infectious disease modeling and computational power have evolved such that
large-scale agent-based models (ABMs) have become feasible. However, the increasing …

Agent-based models (ABMs) are powerful in describing structured epidemiological
processes involving human behavior and local interaction. The joint behavior of the agents …

Agent-based models (ABMs) are gaining importance over traditional epidemiological
modeling due to advances in computing technology and catalyzed by the need for detailed …

Agent-based modeling is a method to model a system by autonomous entities. The
proposed framework models single persons with personal behavior, different health states …

An agent-based approach is evaluated for its applicability as a new modeling technology in
the emerging area of Computational Epidemiology, a research domain that attempts to …

In the case of infectious diseases, the interaction between human behavior and disease
dynamics can greatly influence the resulting outbreak size and characteristics. People …

Advanced information and communication technologies are increasingly applied to collect
heterogeneous data on various aspects of population health, including the emergence of …