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Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease Utah USA

机译:美国犹他州乌拉乌苏病的基于模型决策支持工具的协调战略

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摘要

The coronavirus disease pandemic has highlighted the key role epidemiologic models play in supporting public health decision-making. In particular, these models provide estimates of outbreak potential when data are scarce and decision-making is critical and urgent. We document the integrated modeling response used in the US state of Utah early in the coronavirus disease pandemic, which brought together a diverse set of technical experts and public health and healthcare officials and led to an evidence-based response to the pandemic. We describe how we adapted a standard epidemiologic model; harmonized the outputs across modeling groups; and maintained a constant dialogue with policymakers at multiple levels of government to produce timely, evidence-based, and coordinated public health recommendations and interventions during the first wave of the pandemic. This framework continues to support the state’s response to ongoing outbreaks and can be applied in other settings to address unique public health challenges.
机译:Coronavirus疾病大流行突出了流行病学模型在支持公共卫生决策方面发挥的关键作用。特别是,当数据稀缺时,这些模型提供了对爆发潜力的估计,决策至关重要和紧急。我们在冠状病毒疾病大流行早期记录美国犹他州美国州州的综合建模响应,汇集了各种各样的技术专家和公共卫生和医疗保健官员,并导致了对大流行的基于证据的反应。我们描述了我们如何改编标准流行病学模型;统一建模组的产出;并在多个政府的政策制定者中保持了持续的对话,以便在大流行的第一波浪潮中产生及时,证据和协调的公共卫生建议和干预措施。该框架继续支持该州对持续爆发的回应,可以应用于其他环境,以满足独特的公共卫生挑战。

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