Modeling in Real Time During the Ebola Response.

Q1 Medicine
Martin I Meltzer, Scott Santibanez, Leah S Fischer, Toby L Merlin, Bishwa B Adhikari, Charisma Y Atkins, Caresse Campbell, Isaac Chun-Hai Fung, Manoj Gambhir, Thomas Gift, Bradford Greening, Weidong Gu, Evin U Jacobson, Emily B Kahn, Cristina Carias, Lina Nerlander, Gabriel Rainisch, Manjunath Shankar, Karen Wong, Michael L Washington
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引用次数: 16

Abstract

To aid decision-making during CDC's response to the 2014-2016 Ebola virus disease (Ebola) epidemic in West Africa, CDC activated a Modeling Task Force to generate estimates on various topics related to the response in West Africa and the risk for importation of cases into the United States. Analysis of eight Ebola response modeling projects conducted during August 2014-July 2015 provided insight into the types of questions addressed by modeling, the impact of the estimates generated, and the difficulties encountered during the modeling. This time frame was selected to cover the three phases of the West African epidemic curve. Questions posed to the Modeling Task Force changed as the epidemic progressed. Initially, the task force was asked to estimate the number of cases that might occur if no interventions were implemented compared with cases that might occur if interventions were implemented; however, at the peak of the epidemic, the focus shifted to estimating resource needs for Ebola treatment units. Then, as the epidemic decelerated, requests for modeling changed to generating estimates of the potential number of sexually transmitted Ebola cases. Modeling to provide information for decision-making during the CDC Ebola response involved limited data, a short turnaround time, and difficulty communicating the modeling process, including assumptions and interpretation of results. Despite these challenges, modeling yielded estimates and projections that public health officials used to make key decisions regarding response strategy and resources required. The impact of modeling during the Ebola response demonstrates the usefulness of modeling in future responses, particularly in the early stages and when data are scarce. Future modeling can be enhanced by planning ahead for data needs and data sharing, and by open communication among modelers, scientists, and others to ensure that modeling and its limitations are more clearly understood. The activities summarized in this report would not have been possible without collaboration with many U.S. and international partners (http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/partners.html).

埃博拉应对期间的实时建模。
为了帮助CDC在应对2014-2016年西非埃博拉病毒(埃博拉)疫情期间做出决策,CDC启动了一个建模工作组,对与西非应对和病例输入到美国的风险相关的各种主题进行估计。对2014年8月至2015年7月期间开展的八个埃博拉应对建模项目的分析,有助于深入了解建模所解决的问题类型、所产生的估计的影响以及建模过程中遇到的困难。选择这一时间框架是为了涵盖西非流行病曲线的三个阶段。向建模工作队提出的问题随着疫情的发展而变化。最初,工作队被要求估计如果不实施干预措施可能发生的病例数与如果实施干预措施可能发生的病例数进行比较;然而,在疫情高峰期,重点转向估计埃博拉治疗单位的资源需求。然后,随着疫情的减缓,对建模的要求转变为对性传播埃博拉病例的潜在数量进行估计。在疾病预防控制中心应对埃博拉期间,为决策提供信息的建模涉及有限的数据、较短的周转时间以及难以沟通建模过程(包括假设和结果解释)。尽管存在这些挑战,但建模得出的估算和预测结果可供公共卫生官员用来就应对战略和所需资源做出关键决策。在埃博拉应对期间建模的影响证明了建模在未来应对中的有用性,特别是在早期阶段和数据匮乏时。未来的建模可以通过提前规划数据需求和数据共享,以及建模者、科学家和其他人之间的开放交流来增强,以确保更清楚地理解建模及其局限性。如果没有与许多美国和国际伙伴的合作,本报告所概述的活动是不可能实现的(http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/partners.html)。
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
MMWR supplements
MMWR supplements Medicine-Medicine (all)
CiteScore
48.60
自引率
0.00%
发文量
8
期刊介绍: The Morbidity and Mortality Weekly Report (MMWR ) series is prepared by the Centers for Disease Control and Prevention (CDC). Often called “the voice of CDC,” the MMWR series is the agency’s primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominantly consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.
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