Unknown

Dataset Information

0

Choosing a hospital assistance ship to fight the covid-19 pandemic.


ABSTRACT: OBJECTIVE:To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic. METHODS:We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteria: "Dr. Montenegro," "Soares Meirelles," "Oswaldo Cruz" and "Tenente Maximiano." The chosen ship would support the amazon hospital system, which has an increasing number of cases of covid-19. RESULTS:After the application of the methods, we analyzed three distinct scenarios of ordering the alternatives, which allowed a robust sensitivity analysis, conferring greater transparency and reliability to the decision-making process. The NAsH "Oswaldo Cruz" was selected to be used in the fight against the pandemic. CONCLUSIONS:This study brings valuable contribution to academia and society, since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide.

SUBMITTER: Costa IPA 

PROVIDER: S-EPMC7416598 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Objective</h4>To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic.<h4>Methods</h4>We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteri  ...[more]

Similar Datasets

| S-EPMC7730349 | biostudies-literature
| S-EPMC7937508 | biostudies-literature
| S-EPMC8522678 | biostudies-literature
| S-BSST1055 | biostudies-other
| S-EPMC8560182 | biostudies-literature
| S-EPMC7218351 | biostudies-literature
| S-EPMC7653024 | biostudies-literature
| S-EPMC8662103 | biostudies-literature
| S-EPMC7334951 | biostudies-literature
| 2346925 | ecrin-mdr-crc