A data-driven spatially-specific vaccine allocation framework for COVID-19

DOI10.1007/s10479-022-05037-zzbMath1542.91109MaRDI QIDQ6589070

Ying-Jie Li, Zhaofu Hong, Wanying Chen, Yeming Gong

Publication date: 19 August 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

deep learningCOVID-19data-driven decision makingvaccine allocationspatially-specific SEIR model

Mathematics Subject Classification ID

Resource and cost allocation (including fair division, apportionment, etc.) (91B32) Medical epidemiology (92C60)

Cites Work

• Finding optimal vaccination strategies for pandemic influenza using genetic algorithms
• Prediction of influenza peaks in Russian cities: comparing the accuracy of two SEIR models
• Country- and age-specific optimal allocation of dengue vaccines

This page was built for publication: A data-driven spatially-specific vaccine allocation framework for COVID-19