大流行病缓解政策的综合经济-流行病学模型的数据需求
Data needs for integrated economic-epidemiological models of pandemic mitigation policies
摘要：
COVID-19疫情及因应疫情而实施的缓解政策导致全球经济损失。试图了解经济学和流行病学之间的关系，导致了新一代的综合数学模型。这些模型的数据需求超越了各个领域，特别是在人类互动模式与经济活动密切相关的领域。在这篇文章中，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，既为了通过分析历史数据来了解大流行病的后果和政策应对措施，也为了进一步发展这一新的令人兴奋的跨学科领域。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
