Agent-based simulation of COVID-19 containment measures: the case of lockdowns in cities.

ABSTRACT: The effectiveness and political feasibility of COVID-19 containment measures such as lockdowns, are contentious. This stems in part from an absence of tools for their rigorous evaluation. Common epidemiological models such as the SEIR model generally lack the spatial resolution required for micro-level containment actions, the visualization capabilities for communicating measures such as localized lockdowns and the scenario-testing capabilities for assessing different alternatives. We present an individual-level ABM that generates geo-social networks animated by agent-agent and agent-building interactions. The model simulates real-world contexts and is demonstrated for the city of Jerusalem. Simulation outputs yield much useful information for evaluating the effectiveness of lockdowns. The

SUBMITTER: Grinberger AY 

PROVIDER: S-EPMC10020762 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature