ICSA - Instituto de Ciências Sociais e Aplicadas

URI permanente desta comunidadehttp://www.hml.repositorio.ufop.br/handle/123456789/624

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Brazilian states in the context of COVID-19 pandemic : an index proposition using network data envelopment analysis.
(2021) Mariano, Enzo Barberio; Torres, Bruno G.; Almeida, Mariana Rodrigues de; Ferraz, Diogo; Rebelatto, Daisy Aparecida do Nascimento; Mello, João Carlos Soares de
This study aims to evaluate comparatively the situation of the federal units and the Brazilian states in relation to the pandemic of new coronaviruses (COVID19) through the technique of Network Data Envelopment Analysis (Network DEA - NDEA). For the development of research, data were collected on the Ministry of Health website, for all regions that register cases of virus cases notified until April 27, 2020. The purpose of the analysis is to assess regional discrepancies in the country. The model consists of the following structure: three inputs (number of doctors, number of respirators and number of clinical beds), an intermediate variable (number of reported cases) and one output (number of deaths). The results indicated that the federative unit with the worst performance overall was Amazonas, while the worst capital was Manaus. With two-dimensional representation, managers can visualize better which locations have the worst performance and assess which locations require more assistance. Depending on the results, managers can develop regional action plans, which can take steps to prevent the collapse of the health system.
COVID health structure index : the vulnerability of Brazilian microregions.
(2021) Ferraz, Diogo; Mariano, Enzo Barberio; Manzine, Patricia Regina; Moralles, Herick Fernando; Morceiro, Paulo César; Torres, Bruno Guimarães; Almeida, Mariana Rodrigues de; Mello, João Carlos Soares de; Rebelatto, Daisy Aparecida do Nascimento
Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufcient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These fndings reveal that the heterogeneity of microre- gions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.