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

• Published in: Nature communications Vol. 12; no. 1; pp. 4673 - 10
• Main Authors: Han, Shasha, Cai, Jun, Yang, Juan, Zhang, Juanjuan, Wu, Qianhui, Zheng, Wen, Shi, Huilin, Ajelli, Marco, Zhou, Xiao-Hua, Yu, Hongjie
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.08.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/326/596/4130; 692/308/174; 692/699/255; 692/700/1538; Context; Coronaviruses; COVID-19; COVID-19 vaccines; Disease transmission; Epidemiology; Fatalities; Humanities and Social Sciences; Immunization; multidisciplinary; Optimization; Science; Science (multidisciplinary); Severe acute respiratory syndrome coronavirus 2; Vaccines; China

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-...