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

Dynamically adapting the allocation of COVID-19 vaccines to the evolving epidemiological situation could be key to reduce COVID-19 burden. Here we developed a data-driven mechanistic model of SARS-CoV-2 transmission to explore optimal vaccine prioritization strategies in China. We found that a time-...

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Detalles Bibliográficos
Autores principales: Han, Shasha, Cai, Jun, Yang, Juan, Zhang, Juanjuan, Wu, Qianhui, Zheng, Wen, Shi, Huilin, Ajelli, Marco, Zhou, Xiao-Hua, Yu, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333090/
https://www.ncbi.nlm.nih.gov/pubmed/34344871
http://dx.doi.org/10.1038/s41467-021-24872-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333090/
https://www.ncbi.nlm.nih.gov/pubmed/34344871
http://dx.doi.org/10.1038/s41467-021-24872-5

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