  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.
