论文标题
大流行缓解政策综合经济流行病学模型的数据需求
Data needs for integrated economic-epidemiological models of pandemic mitigation policies
论文作者
论文摘要
COVID-19-19大流行及其对其作出的缓解政策导致了全球经济损失。尝试了解经济学与流行病学之间的关系的尝试导致了新一代的综合数学模型。这些模型的数据需要超越各个领域的数据，尤其是在人类互动模式与经济活动紧密相关的情况下。在本文中，我们反思了迄今为止的建模工作，讨论了他们已经确定的数据需求，既是通过分析历史数据的分析以及这一新的令人兴奋的跨学科领域的进一步发展，以理解大流行和政策对其的后果。
The COVID-19 pandemic and the mitigation policies implemented in response to it have resulted in economic losses worldwide. Attempts to understand the relationship between economics and epidemiology has lead to a new generation of integrated mathematical models. The data needs for these models transcend those of the individual fields, especially where human interaction patterns are closely linked with economic activity. In this article, we reflect upon modelling efforts to date, discussing the data needs that they have identified, both for understanding the consequences of the pandemic and policy responses to it through analysis of historic data and for the further development of this new and exciting interdisciplinary field.
