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Dataset Information

Impact of vaccine prioritization strategies on mitigating COVID-19: an agent-based simulation study using an urban region in the United States.


ABSTRACT:

Background

Approval of novel vaccines for COVID-19 had brought hope and expectations, but not without additional challenges. One central challenge was understanding how to appropriately prioritize the use of limited supply of vaccines. This study examined the efficacy of the various vaccine prioritization strategies using the vaccination campaign underway in the U.S.

Methods

The study developed a granular agent-based simulation model for mimicking community spread of COVID-19 under various social interventions including full and partial closures, isolation and quarantine, use of face mask and contact tracing, and vaccination. The model was populated with parameters of disease natural history, as well as demographic and societal data for an urban community in the U.S. with 2.

SUBMITTER: Tatapudi H 

PROVIDER: S-EPMC8645225 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature