The author is with the Department of Mathematics and Statistics, Vassar College, Poughkeepsie, NY.
Am J Public Health. 2023 Jul;113(7):778-785. doi: 10.2105/AJPH.2023.307302. Epub 2023 Apr 27.
The COVID-19 pandemic has revealed the importance of the population-scale effects of both diseases and interventions. Vaccines have had an enormous impact, greatly reducing the suffering caused by COVID-19. Clinical trials have focused on individual-level clinical benefits, however, so the broader effects of the vaccines on preventing infection and transmission, and their overall effect at the community level, remain unclear. These questions can be addressed through alternative designs for vaccine trials, including assessing different endpoints and randomizing at the cluster instead of individual level. Although these designs exist, various factors have limited their use as preauthorization pivotal trials. They face statistical, epidemiological, and logistical limitations as well as regulatory barriers and uncertainty. Addressing these hindrances through research, communication, and policy can improve the evidence base of vaccines, their strategic deployment, and population health, both in the COVID-19 pandemic and in future infectious disease outbreaks. (. 2023;113(7):778-785. https://doi.org/10.2105/AJPH.2023.307302).
新冠疫情大流行凸显了疾病和干预措施的人群层面效应的重要性。疫苗的作用非常巨大,极大地减轻了新冠疫情带来的痛苦。然而,临床试验主要关注个体层面的临床获益,因此疫苗在预防感染和传播方面的更广泛效果及其在社区层面的总体效果尚不清楚。这些问题可以通过疫苗试验的替代设计来解决,包括评估不同的终点和以簇而不是个体为单位进行随机分组。尽管这些设计存在,但各种因素限制了它们作为预先授权关键试验的使用。它们面临着统计、流行病学和后勤方面的限制以及监管障碍和不确定性。通过研究、沟通和政策来解决这些障碍,可以提高疫苗的证据基础、它们的战略部署以及人口健康,无论是在新冠疫情大流行期间还是在未来的传染病爆发期间。(2023 年;113(7):778-785. https://doi.org/10.2105/AJPH.2023.307302)。