Public health impact of the U.S. Scenario Modeling Hub

IF 3 3区 医学 Q2 INFECTIOUS DISEASES
Rebecca K. Borchering, Jessica M. Healy, Betsy L. Cadwell, Michael A. Johansson, Rachel B. Slayton, Megan Wallace, Matthew Biggerstaff
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引用次数: 2

Abstract

Beginning in December 2020, the COVID-19 Scenario Modeling Hub has provided quantitative scenario-based projections for cases, hospitalizations, and deaths, aggregated across up to nine modeling groups. Projections spanned multiple months into the future and provided timely information on potential impacts of epidemiological uncertainties and interventions. Projections results were shared with the public, public health partners, and the Centers for Disease Control COVID-19 Response Team. The projections provided insights on situational awareness and informed decision-making to mitigate COVID-19 disease burden (e.g., vaccination strategies). By aggregating projections from multiple modeling teams, the Scenario Modeling Hub provided rapidly synthesized information in times of great uncertainty and conveyed possible trajectories in the presence of emerging variants. Here we detail several use cases of these projections in public health practice and communication, including assessments of whether modeling results directly or indirectly informed public health communication or guidance. These include multiple examples where comparisons of projected COVID-19 disease outcomes under different vaccination scenarios were used to inform Advisory Committee for Immunization Practices recommendations. We also describe challenges and lessons learned during this highly beneficial collaboration.

美国情景建模中心对公共卫生的影响。
从2020年12月开始,新冠肺炎情景建模中心为病例、住院和死亡提供了基于情景的定量预测,汇总了多达九个建模组。对未来几个月的预测及时提供了有关流行病不确定性和干预措施潜在影响的信息。预测结果与公众、公共卫生合作伙伴和疾病控制中心新冠肺炎应对小组分享。预测提供了关于情景意识和知情决策的见解,以减轻新冠肺炎疾病负担(如疫苗接种策略)。通过汇总多个建模团队的预测,场景建模中心在非常不确定的情况下提供了快速合成的信息,并在出现新变种的情况下传达了可能的轨迹。在这里,我们详细介绍了这些预测在公共卫生实践和沟通中的几个用例,包括对建模结果是否直接或间接告知公共卫生沟通或指导的评估。其中包括多个例子,其中使用了不同疫苗接种情景下预计新冠肺炎疾病结果的比较,为免疫实践咨询委员会的建议提供信息。我们还介绍了在这一非常有益的合作中所面临的挑战和吸取的教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
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