论文标题

汇总人类判断的概率预测COVID-19的传播,负担和预防措施

Aggregating human judgment probabilistic predictions of COVID-19 transmission, burden, and preventative measures

论文作者

Codi, Allison, Luk, Damon, Braun, David, Cambeiro, Juan, Besiroglu, Tamay, Chen, Eva, de C`esaris, Luis Enrique Urtubey, Bocchini, Paolo, McAndrew, Thomas

论文摘要

共同的人类对共同健康重要性目标的人类判断预测是准确的,通常超过了计算模型。我们的工作表明,人类对传染性药物的概括预测是及时,准确且适应性的,可以用作工具,以帮助爆发期间的公共卫生决策。

Aggregated human judgment forecasts for COVID-19 targets of public health importance are accurate, often outperforming computational models. Our work shows aggregated human judgment forecasts for infectious agents are timely, accurate, and adaptable, and can be used as tool to aid public health decision making during outbreaks.

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