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Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity
AbstractDynamically 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-varying vaccination program (i.e., allocating vaccines to different target groups as the epidemic evolves) can be highly beneficial as it is capable of simultaneously achieving differentdoi:10.1038/s41467-021-24872-5 fatcat:mbvx6exlajadtaexnkg6sschky