论文标题
在大流行期间对Covid-19的疫苗接种优化
Optimization of vaccination for COVID-19 in the midst of a pandemic
论文作者
论文摘要
在COVID-19大流行期间，疫苗接种以对抗病毒发挥着关键作用。有许多可能优先考虑疫苗的政策，并且有不同的优化标准：最大程度地减少死亡，饲养免疫力的时间，卫生系统的运作。我们的结果使用年龄结构的人口隔室有限维度最佳控制模型，这表明最年轻的疫苗接种政策是最大程度地减少死亡的最佳疫苗接种政策。我们的模型包括可能感染接种疫苗的人群。我们将模型应用于新泽西州和佛罗里达州的美国人口普查的现实数据，这些数据具有明显不同的人口结构。我们还通过优化疫苗时间表并与未疫苗接种相比，我们还提供了各种估计的生命数量。
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.
