Optimization of vaccination for COVID-19 in the midst of a pandemic
Optimization of vaccination for COVID-19 in the midst of a pandemic
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DOI：
10.3934/nhm.2022016
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
Qi Luo;R. Weightman;Sean T. McQuade;Mateo-Berganza Diaz;Emmanuel Tr'elat;William Barbour;D. Work;S. Samaranayake;B. Piccoli
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文献类型：
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作者：
Qi Luo;R. Weightman;Sean T. McQuade;Mateo-Berganza Diaz;Emmanuel Tr'elat;William Barbour;D. Work;S. Samaranayake;B. Piccoli
在2019冠状病毒病大流行期间，疫苗接种在抗击病毒方面发挥了关键作用。有许多可能的优先接种疫苗的政策，以及不同的优化标准：最大限度地减少死亡，群体免疫的时间，卫生系统的功能。使用年龄结构的人口房室有限维最优控制模型，我们的研究结果表明，最大到最年轻的疫苗接种政策是最优的，以尽量减少死亡。我们的模型包括接种疫苗人群的可能感染。我们将我们的模型应用于新泽西和佛罗里达人口普查的真实数据，这两个城市的人口结构有很大的不同。我们还提供了通过优化疫苗接种计划挽救的生命数量的各种估计，并与没有接种疫苗进行了比较。
During the Covid-19 pandemic a key role is played by vaccination to combat the virus. There are many possible policies for prioritizing vaccines, and different criteria for optimization: minimize death, time to herd immunity, functioning of the health system. Using an age-structured population compartmental finite-dimensional optimal control model, our results suggest that the eldest to youngest vaccination policy is optimal to minimize deaths. Our model includes the possible infection of vaccinated populations. We apply our model to real-life data from the US Census for New Jersey and Florida, which have a significantly different population structure. We also provide various estimates of the number of lives saved by optimizing the vaccine schedule and compared to no vaccination.