Agent-based evolving network modeling: a new simulation method for modeling low prevalence infectious diseases.

ABSTRACT: Agent-based network modeling (ABNM) simulates each person at the individual-level as agents of the simulation, and uses network generation algorithms to generate the network of contacts between individuals. ABNM are suitable for simulating individual-level dynamics of infectious diseases, especially for diseases such as HIV that spread through close contacts within intricate contact networks. However, as ABNM simulates a scaled-version of the full population, consisting of all infected and susceptible persons, they are computationally infeasible for studying certain questions in low prevalence diseases such as HIV. We present a new simulation technique, agent-based evolving network modeling (ABENM), which includes a new network generation algorithm, Evolving Contact Network Algorithm (ECNA

SUBMITTER: Eden M 

PROVIDER: S-EPMC8459606 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature