An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply

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<h4>Background and objective</h4> The distribution of the newly developed vaccines presents a great challenge in the ongoing SARS-CoV-2 pandemic. Policy makers must decide which subgroups should be vaccinated first to minimize the negative consequences of the pandemic. These decisions mu...

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Bibliographic Details
Main Authors: Martin Bicher, Claire Rippinger, Melanie Zechmeister, Beate Jahn, Gaby Sroczynski, Nikolai Mühlberger, Julia Santamaria-Navarro, Christoph Urach, Dominik Brunmeir, Uwe Siebert, Niki Popper
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060336/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060336/?tool=EBI

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