Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity

Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity

In the context of limited supply, strategies for optimising allocation of COVID-19 vaccines are needed. Here, the authors explore time-varying strategies that adapt to the epidemiological situation and simultaneously optimise for multiple objectives including reducing numbers of infections, hospital...

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Main Authors: Shasha Han, Jun Cai, Juan Yang, Juanjuan Zhang, Qianhui Wu, Wen Zheng, Huilin Shi, Marco Ajelli, Xiao-Hua Zhou, Hongjie Yu
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-24872-5
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spelling doaj-dbc48e81f2c44f39a375d3c5ef13a0cf2021-08-08T11:36:52ZengNature Publishing GroupNature Communications2041-17232021-08-0112111010.1038/s41467-021-24872-5Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacityShasha Han0Jun Cai1Juan Yang2Juanjuan Zhang3Qianhui Wu4Wen Zheng5Huilin Shi6Marco Ajelli7Xiao-Hua Zhou8Hongjie Yu9Beijing International Center for Mathematical Research, Peking UniversitySchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationDepartment of Epidemiology and Biostatistics, Indiana University School of Public HealthBeijing International Center for Mathematical Research, Peking UniversitySchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of EducationIn the context of limited supply, strategies for optimising allocation of COVID-19 vaccines are needed. Here, the authors explore time-varying strategies that adapt to the epidemiological situation and simultaneously optimise for multiple objectives including reducing numbers of infections, hospitalisations, and deaths.https://doi.org/10.1038/s41467-021-24872-5
collection DOAJ
language English
format Article
sources DOAJ
author Shasha Han
Jun Cai
Juan Yang
Juanjuan Zhang
Qianhui Wu
Wen Zheng
Huilin Shi
Marco Ajelli
Xiao-Hua Zhou
Hongjie Yu
spellingShingle Shasha Han
Jun Cai
Juan Yang
Juanjuan Zhang
Qianhui Wu
Wen Zheng
Huilin Shi
Marco Ajelli
Xiao-Hua Zhou
Hongjie Yu
Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
Nature Communications
author_facet Shasha Han
Jun Cai
Juan Yang
Juanjuan Zhang
Qianhui Wu
Wen Zheng
Huilin Shi
Marco Ajelli
Xiao-Hua Zhou
Hongjie Yu
author_sort Shasha Han
title Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
title_short Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
title_full Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
title_fullStr Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
title_full_unstemmed Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
title_sort time-varying optimization of covid-19 vaccine prioritization in the context of limited vaccination capacity
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-08-01
description In the context of limited supply, strategies for optimising allocation of COVID-19 vaccines are needed. Here, the authors explore time-varying strategies that adapt to the epidemiological situation and simultaneously optimise for multiple objectives including reducing numbers of infections, hospitalisations, and deaths.
url https://doi.org/10.1038/s41467-021-24872-5
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