Evaluation of the Allocation of Public Resources Destined to the Fight against COVID-19 in the Brazilian Regions Using Data Envelopment Analysis (DEA)

• Published in: Procedia computer science 2023, Vol.221, p.253-260
• Main Authors: Ribeiro, Lucas Tayrone Moreira, Santos, Marcos dos, Moreira, Miguel Ângelo Lellis, Costa, Igor Pinheiro de Araújo, Corriça, José Victor de Pina, Pereira, Daniel Augusto de Moura, Gomes, Carlos Francisco Simões
• Format: Article
• Language: English
• Subjects: Covid-19; Data envelopment analysis; DEA
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2023.07.035

This work presents an exploratory analysis concerning the understand of which Brazilian states have proven efficient in combating the Covid-19 pandemic, based on the treasury provided to them by the federal government, along with the understand of the association between input and output variables. As mathematical modeling support, the Data Envelopment Analysis (DEA) methodology is used as aid in the exploratory analysis. In this scenario, the states were analyzing based on the data of the treasury provided in the portal transparency of the federal government as well as the data of contamination and deaths available in the site informing health also of the government. The results show that with the CCR model, seven states are efficient while eleven are exposed in the BCC model. After the reduction in the number of inputs and outputs, the BCC model showed a decrease in the number of efficient states, being seven the new number to demonstrate an increase in inefficiency aspects.