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美国通过新冠疫苗回归正常生活:一项基于主体的大规模模拟研究

Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study.

作者信息

Li Junjiang, Giabbanelli Philippe

机构信息

Department of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.

出版信息

JMIR Med Inform. 2021 Apr 29;9(4):e27419. doi: 10.2196/27419.

Abstract

BACKGROUND

In 2020, COVID-19 has claimed more than 300,000 deaths in the United States alone. Although nonpharmaceutical interventions were implemented by federal and state governments in the United States, these efforts have failed to contain the virus. Following the Food and Drug Administration's approval of two COVID-19 vaccines, however, the hope for the return to normalcy has been renewed. This hope rests on an unprecedented nationwide vaccine campaign, which faces many logistical challenges and is also contingent on several factors whose values are currently unknown.

OBJECTIVE

We study the effectiveness of a nationwide vaccine campaign in response to different vaccine efficacies, the willingness of the population to be vaccinated, and the daily vaccine capacity under two different federal plans. To characterize the possible outcomes most accurately, we also account for the interactions between nonpharmaceutical interventions and vaccines through 6 scenarios that capture a range of possible impacts from nonpharmaceutical interventions.

METHODS

We used large-scale, cloud-based, agent-based simulations by implementing the vaccination campaign using COVASIM, an open-source agent-based model for COVID-19 that has been used in several peer-reviewed studies and accounts for individual heterogeneity and a multiplicity of contact networks. Several modifications to the parameters and simulation logic were made to better align the model with current evidence. We chose 6 nonpharmaceutical intervention scenarios and applied the vaccination intervention following both the plan proposed by Operation Warp Speed (former Trump administration) and the plan of one million vaccines per day, proposed by the Biden administration. We accounted for unknowns in vaccine efficacies and levels of population compliance by varying both parameters. For each experiment, the cumulative infection growth was fitted to a logistic growth model, and the carrying capacities and the growth rates were recorded.

RESULTS

For both vaccination plans and all nonpharmaceutical intervention scenarios, the presence of the vaccine intervention considerably lowers the total number of infections when life returns to normal, even when the population compliance to vaccines is as low as 20%. We noted an unintended consequence; given the vaccine availability estimates under both federal plans and the focus on vaccinating individuals by age categories, a significant reduction in nonpharmaceutical interventions results in a counterintuitive situation in which higher vaccine compliance then leads to more total infections.

CONCLUSIONS

Although potent, vaccines alone cannot effectively end the pandemic given the current availability estimates and the adopted vaccination strategy. Nonpharmaceutical interventions need to continue and be enforced to ensure high compliance so that the rate of immunity established by vaccination outpaces that induced by infections.

摘要

背景

2020年,仅在美国,新冠病毒就已导致超过30万例死亡。尽管美国联邦和州政府实施了非药物干预措施,但这些努力未能遏制病毒传播。然而,在美国食品药品监督管理局批准了两种新冠疫苗之后,恢复正常生活的希望得以重燃。这一希望寄托在一场史无前例的全国性疫苗接种运动上,该运动面临诸多后勤挑战,并且还取决于几个目前尚不清楚其数值的因素。

目的

我们研究在两种不同的联邦计划下,全国性疫苗接种运动针对不同疫苗效力、民众接种意愿以及每日疫苗接种能力的有效性。为了最准确地描述可能的结果,我们还通过6种情景来考虑非药物干预措施与疫苗之间的相互作用,这些情景涵盖了非药物干预措施的一系列可能影响。

方法

我们通过使用COVASIM进行大规模的、基于云的、基于主体的模拟,COVASIM是一种用于新冠病毒的开源基于主体的模型,已在多项同行评审研究中使用,它考虑了个体异质性和多种接触网络。对参数和模拟逻辑进行了若干修改,以使模型更好地与当前证据相符。我们选择了6种非药物干预情景,并按照加速行动(前特朗普政府)提出的计划以及拜登政府提出的每日接种100万剂疫苗的计划实施疫苗接种干预。我们通过改变这两个参数来考虑疫苗效力和民众依从水平方面的未知因素。对于每个实验,将累积感染增长拟合到逻辑增长模型,并记录承载能力和增长率。

结果

对于这两种疫苗接种计划以及所有非药物干预情景,即使民众对疫苗的依从率低至20%,疫苗干预措施的存在也会在生活恢复正常时显著降低感染总数。我们注意到一个意外后果;鉴于两种联邦计划下的疫苗供应估计以及按年龄类别为个人接种疫苗的重点,非药物干预措施的显著减少导致了一种违反直觉的情况,即更高的疫苗依从率随后会导致更多的总感染数。

结论

鉴于目前的供应估计和所采用的疫苗接种策略,尽管疫苗效力强大,但仅靠疫苗无法有效终结疫情。需要继续并加强非药物干预措施,以确保高依从性,从而使通过接种疫苗建立的免疫速度超过由感染引发的免疫速度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a401/8086790/5f09a11de652/medinform_v9i4e27419_fig2.jpg

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