A. David Paltiel is a professor in the Department of Health Policy and Management and codirector of the Public Health Modeling Unit at the Yale School of Public Health, in New Haven, Connecticut.
Jason L. Schwartz (
Health Aff (Millwood). 2021 Jan;40(1):42-52. doi: 10.1377/hlthaff.2020.02054. Epub 2020 Nov 19.
The global effort to develop a coronavirus disease 2019 (COVID-19) vaccine is on track to produce one or more authorized vaccines. We examine how different definitions and thresholds of vaccine efficacy, coupled with different levels of implementation effectiveness and background epidemic severity, translate into outcomes including cumulative infections, hospitalizations, and deaths. Using a mathematical simulation of vaccination, we find that factors related to implementation will contribute more to the success of vaccination programs than a vaccine's efficacy as determined in clinical trials. The benefits of a vaccine will decline substantially in the event of manufacturing or deployment delays, significant vaccine hesitancy, or greater epidemic severity. Our findings demonstrate the urgent need for health officials to invest greater financial resources and attention to vaccine production and distribution programs, to redouble efforts to promote public confidence in COVID-19 vaccines, and to encourage continued adherence to other mitigation approaches, even after a vaccine becomes available.
全球开发 2019 年冠状病毒病(COVID-19)疫苗的努力正在取得进展,有望生产出一种或多种获得授权的疫苗。我们研究了不同的疫苗效力定义和阈值,加上不同水平的实施效果和背景疫情严重程度,如何转化为包括累计感染、住院和死亡在内的结果。我们使用疫苗接种的数学模拟发现,与临床试验中确定的疫苗效力相比,与实施相关的因素将为疫苗接种计划的成功做出更大的贡献。如果出现制造或部署延迟、疫苗接种犹豫不决或疫情严重程度更大的情况,疫苗的效果将大幅下降。我们的研究结果表明,卫生官员迫切需要投入更多的财政资源和关注疫苗生产和分发计划,加倍努力促进公众对 COVID-19 疫苗的信心,并鼓励在疫苗可用后继续坚持其他缓解措施。
Health Aff (Millwood). 2021-1
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