Brazilian states in the context of COVID-19 pandemic : an index proposition using network data envelopment analysis.
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Date
2021
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Abstract
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.
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Keywords
Healthcare, Two-dimensional frontier representation
Citation
MARIANO, E. B. et al. Brazilian states in the context of COVID-19 pandemic: an index proposition using network data envelopment analysis. IEEE Latin America Transactions, v. 19, n. 6, jun. 2021. Disponível em: <https://latamt.ieeer9.org/index.php/transactions/article/view/4274>. Acesso em: 24 maio 2022.