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根据抗体状态优先接种严重急性呼吸综合征冠状病毒2疫苗的流行病学影响:数学建模分析

Epidemiological impact of prioritising SARS-CoV-2 vaccination by antibody status: mathematical modelling analyses.

作者信息

Ayoub Houssein H, Chemaitelly Hiam, Makhoul Monia, Al Kanaani Zaina, Al Kuwari Einas, Butt Adeel A, Coyle Peter, Jeremijenko Andrew, Kaleeckal Anvar Hassan, Latif Ali Nizar, Shaik Riyazuddin Mohammad, Abdul Rahim Hanan F, Nasrallah Gheyath K, Yassine Hadi M, Al Kuwari Mohamed G, Al Romaihi Hamad Eid, Al-Thani Mohamed H, Bertollini Roberto, Al Khal Abdullatif, Abu-Raddad Laith J

机构信息

Department of Mathematics, Statistics, and Physics, Qatar University, Doha, Qatar.

Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.

出版信息

BMJ Innov. 2021 Apr;7(2):327-336. doi: 10.1136/bmjinnov-2021-000677. Epub 2021 Mar 31.

Abstract

BACKGROUND

Vaccines against SARS-CoV-2 have been developed, but their availability falls far short of global needs. This study aimed to investigate the impact of prioritising available doses on the basis of recipient antibody status, that is by exposure status, using Qatar as an example.

METHODS

Vaccination impact (defined as the reduction in infection incidence and the number of vaccinations needed to avert one infection or one adverse disease outcome) was assessed under different scale-up scenarios using a deterministic meta-population mathematical model describing SARS-CoV-2 transmission and disease progression in the presence of vaccination.

RESULTS

For a vaccine that protects against infection with an efficacy of 95%, half as many vaccinations were needed to avert one infection, disease outcome or death by prioritising antibody-negative individuals for vaccination. Prioritisation by antibody status reduced incidence at a faster rate and led to faster elimination of infection and return to normalcy. Further prioritisation by age group amplified the gains of prioritisation by antibody status. Gains from prioritisation by antibody status were largest in settings where the proportion of the population already infected at the commencement of vaccination was 30%-60%. For a vaccine that only protects against disease and not infection, vaccine impact was reduced by half, whether this impact was measured in terms of averted infections or disease outcomes, but the relative gains from using antibody status to prioritise vaccination recipients were similar.

CONCLUSIONS

Major health and economic gains can be achieved more quickly by prioritizing those who are antibody-negative while doses of the vaccine remain in short supply.

摘要

背景

针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的疫苗已研发出来,但疫苗的可及性远远无法满足全球需求。本研究旨在以卡塔尔为例,调查基于受种者抗体状态(即暴露状态)来优先分配现有疫苗剂量的影响。

方法

使用确定性元种群数学模型评估在不同扩大接种规模情景下的疫苗接种影响(定义为感染发病率的降低以及避免一次感染或一种不良疾病结局所需的接种次数),该模型描述了在接种疫苗情况下SARS-CoV-2的传播和疾病进展。

结果

对于一种预防感染效力为95%的疫苗,通过优先为抗体阴性个体接种疫苗,避免一次感染、疾病结局或死亡所需的接种次数减少了一半。按抗体状态进行优先排序可更快降低发病率,并更快消除感染并恢复正常状态。按年龄组进一步进行优先排序放大了按抗体状态进行优先排序的益处。在接种疫苗开始时已感染人群比例为30%-60%的情况下,按抗体状态进行优先排序的益处最大。对于一种仅预防疾病而非感染的疫苗,无论这种影响是以避免感染还是疾病结局来衡量,疫苗接种影响都降低了一半,但使用抗体状态来优先选择疫苗接种对象的相对益处相似。

结论

在疫苗剂量仍然短缺的情况下,通过优先为抗体阴性者接种疫苗,可以更快地实现重大的健康和经济收益。

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