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基于模型的 COVID-19 疫苗优先接种策略,按年龄和血清学状态分层。

Model-informed COVID-19 vaccine prioritization strategies by age and serostatus.

机构信息

Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO 80309, USA.

IQ Biology Program, University of Colorado Boulder, Boulder, CO 80303, USA.

出版信息

Science. 2021 Feb 26;371(6532):916-921. doi: 10.1126/science.abe6959. Epub 2021 Jan 21.

Abstract

Limited initial supply of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine raises the question of how to prioritize available doses. We used a mathematical model to compare five age-stratified prioritization strategies. A highly effective transmission-blocking vaccine prioritized to adults ages 20 to 49 years minimized cumulative incidence, but mortality and years of life lost were minimized in most scenarios when the vaccine was prioritized to adults greater than 60 years old. Use of individual-level serological tests to redirect doses to seronegative individuals improved the marginal impact of each dose while potentially reducing existing inequities in COVID-19 impact. Although maximum impact prioritization strategies were broadly consistent across countries, transmission rates, vaccination rollout speeds, and estimates of naturally acquired immunity, this framework can be used to compare impacts of prioritization strategies across contexts.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)疫苗的初始供应量有限,这引发了如何优先分配现有剂量的问题。我们使用一个数学模型比较了五种年龄分层的优先排序策略。对于 20 至 49 岁的成年人,接种高有效率的阻断传播疫苗可以使累计发病率最小化,但在大多数情况下,将疫苗优先接种给 60 岁以上的成年人可以使死亡率和生命损失年数最小化。使用个体血清学检测来重新分配给血清阴性个体的剂量可以提高每剂疫苗的边际效果,同时可能减少 COVID-19 影响方面现有的不平等现象。尽管最大影响优先排序策略在各国之间基本一致,但传播率、疫苗接种速度和自然获得免疫力的估计值不同,因此可以使用该框架比较不同情况下优先排序策略的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a333/7963218/39d82dfaa13f/371_916_F1.jpg

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