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纽约市的 COVID-19 疫情:开发一种特定年龄组的数学模型,以预测各种疫苗接种策略的结果。

COVID-19 epidemic in New York City: development of an age group-specific mathematical model to predict the outcome of various vaccination strategies.

机构信息

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, People's Republic of China.

Department of Internal Medicine, The Second Affiliated Hospital of Xi'an, Jiaotong University, Xi'an, 710004, China.

出版信息

Virol J. 2022 Mar 15;19(1):43. doi: 10.1186/s12985-022-01771-9.

Abstract

BACKGROUND

Since December 14, 2020, New York City (NYC) has started the first batch of COVID-19 vaccines. However, the shortage of vaccines is currently an inevitable problem. Therefore, optimizing the age-specific COVID-19 vaccination is an important issue that needs to be addressed as a priority.

OBJECTIVE

Combined with the reported COVID-19 data in NYC, this study aimed to construct a mathematical model with five age groups to estimate the impact of age-specific vaccination on reducing the prevalence of COVID-19.

METHODS

We proposed an age-structured mathematical model and estimated the unknown parameters based on the method of Markov Chain Monte Carlo (MCMC). We also calibrated our model by using three different types of reported COVID-19 data in NYC. Moreover, we evaluated the reduced cumulative number of deaths and new infections with different vaccine allocation strategies.

RESULTS

Compared with the current vaccination strategy in NYC, if we gradually increased the vaccination coverage rate for only one age groups from March 1, 2021 such that the vaccination coverage rate would reach to 40% by June 1, 2021, then as of June 1, 2021, the cumulative deaths in the 75-100 age group would be reduced the most, about 72 fewer deaths per increased 100,000 vaccinated individuals, and the cumulative new infections in the 0-17 age group would be reduced the most, about 21,591 fewer new infections per increased 100,000 vaccinated individuals. If we gradually increased the vaccination coverage rate for two age groups from March 1, 2021 such that the vaccination coverage rate would reach to 40% by June 1, 2021, then as of June 1, 2021, the cumulative deaths in the 65-100 age group would be reduced the most, about 36 fewer deaths per increased 100,000 vaccinated individuals, and the cumulative new infections in the 0-44 age group would be reduced the most, about 17,515 fewer new infections per increased 100,000 vaccinated individuals. In addition, if we had an additional 100,000 doses of vaccine for 0-17 and 75-100 age groups as of June 1, 2021, then the allocation of 80% to the 0-17 age group and 20% to the 75-100 age group would reduce the maximum numbers of new infections and deaths simultaneously in NYC.

CONCLUSIONS

The COVID-19 burden including deaths and new infections would decrease with increasing vaccination coverage rate. Priority vaccination to the elderly and adolescents would minimize both deaths and new infections.

摘要

背景

自 2020 年 12 月 14 日起,纽约市(NYC)开始接种第一批 COVID-19 疫苗。然而,疫苗短缺目前是一个不可避免的问题。因此,优化特定年龄 COVID-19 疫苗接种是一个需要优先解决的重要问题。

目的

本研究结合纽约市报告的 COVID-19 数据,构建了一个包含五个年龄组的数学模型,以估计特定年龄组疫苗接种对降低 COVID-19 发病率的影响。

方法

我们提出了一个年龄结构的数学模型,并基于马尔可夫链蒙特卡罗(MCMC)方法估计了未知参数。我们还使用了纽约市三种不同类型的报告 COVID-19 数据对我们的模型进行了校准。此外,我们评估了不同疫苗分配策略下减少的累积死亡人数和新感染人数。

结果

与纽约市目前的疫苗接种策略相比,如果我们从 2021 年 3 月 1 日开始逐步提高五个年龄组中一个年龄组的疫苗接种覆盖率,那么到 2021 年 6 月 1 日,疫苗接种覆盖率将达到 40%,那么截至 2021 年 6 月 1 日,75-100 岁年龄组的累积死亡人数将减少最多,每增加 10 万接种者,将减少约 72 人死亡,0-17 岁年龄组的累积新感染人数将减少最多,每增加 10 万接种者,将减少约 21591 例新感染。如果我们从 2021 年 3 月 1 日开始逐步提高两个年龄组的疫苗接种覆盖率,那么到 2021 年 6 月 1 日,疫苗接种覆盖率将达到 40%,那么截至 2021 年 6 月 1 日,65-100 岁年龄组的累积死亡人数将减少最多,每增加 10 万接种者,将减少约 36 人死亡,0-44 岁年龄组的累积新感染人数将减少最多,每增加 10 万接种者,将减少约 17515 例新感染。此外,如果我们在 2021 年 6 月 1 日之前有额外的 10 万剂疫苗用于 0-17 岁和 75-100 岁年龄组,那么将 80%的疫苗分配给 0-17 岁年龄组,20%分配给 75-100 岁年龄组,将同时最大限度地减少纽约市的新感染和死亡人数。

结论

包括死亡和新感染在内的 COVID-19 负担将随着疫苗接种率的提高而降低。优先为老年人和青少年接种疫苗将使死亡和新感染人数最小化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ec/8922831/a8f9107e4e13/12985_2022_1771_Fig1_HTML.jpg

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