Dynamics of COVID-19 mitigation inefficiency in Brazil

TL;DR

This study uses Data Envelopment Analysis over thirty-day periods to analyze the spatial and temporal evolution of COVID-19 mitigation inefficiency across Brazilian municipalities, identifying hotspots and aiding future decision-making.

Contribution

It introduces a spatiotemporal DEA approach to quantify and visualize pandemic mitigation inefficiency dynamics at a municipal level in Brazil.

Findings

Identification of pandemic hotspots over time

Spatial distribution maps of inefficiency scores

Temporal trends in mitigation performance

Abstract

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.