巴西COVID-19减缓低效的动态
Dynamics of COVID-19 mitigation inefficiency in Brazil
摘要：
在这项工作中，采用数据包络分析（DEA）在30天的窗口，以量化时间演变的相对流行病缓解效率低下的巴西城市。在每30天的窗口中，将在地图上显示5000多个巴西城市的效率低下得分结果，以解决相应值的空间分布问题。这种现象学的时空方法揭示了热点的位置，在相对流行病的效率低下的城市，在不同的时间点沿流行。预计目前的方法可以通过对以前实践的比较分析来补贴决策，从而为未来的大流行缓解工作做出贡献。
英文摘要：
In this work Data Envelopment Analysis (DEA) is employed in thirty-day windows to quantify temporal evolution of relative pandemic mitigation inefficiency of Brazilian municipalities. For each thirty-day window the results of inefficiency scores of over five thousand Brazilian municipalities are displayed on maps, to address the spatial distribution of the corresponding values. This phenomenological spatiotemporal approach reveals location of the hotspots, in terms of relative pandemic inefficiency of the municipalities, at different points in time along the pandemic. It is expected that the current approach may subsidize decision making through comparative analysis of previous practice, and thus contribute to the future pandemic mitigation efforts.
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。
